I10-001 learn - XML Master Basic V2 Updated: 2023
XML-Master Master learn
Other XML-Master exams
I10-001 XML Master Basic V2I10-002 XML Master- Professional V2
I10-003 XML Master Professional Database Administrator
I10-001
XML Master Basic V2
https://killexams.com/pass4sure/exam-detail/I10-001
Question: 124
Select which of the following is correct with regard to using a multiple number of character
encoding types in a single XML document that contains no external references.
A. Attach encoding element attributes to the element.
B. Attach encoding attributes for each element in the DTD. C. Use UTF-8 or UTF-16.
D. A multiple number of character encoding types cannot be used. W Courier Newlr Z
Answer: D
Question: 125
With respect to XML 1. 0, select which character encoding (encoding value for the XML
declaration) that an XML processor absolutely must be able to process.
A. Shift_JIS
B. JIS
C. EUC-JP
D. UTF-8W Courier Newlr Z
Answer: D
Question: 126
Select which of the following is correct with respect to designating XML document
character encoding output via XSLT.
A. The output XML document character encoding is the same as the original XML
document.
B. The output XML document character encoding is the same as the XSLT stylesheet.
C. Use xsl:output instructions to set the character encoding.
D. The character encoding for the XML document of the transformation results cannot be
designated. W Courier Newlr Z
Answer: C
Question: 127
Press the Exhibit button to view and transform "Transformation Source XML Document".
Select the answer that correctly describes what belongs in (1) in the "XSLT Stylesheet" to
derive "Post- Transformation XML
Document".
[XSLT Stylesheet]
62
A. //name
B. /name
C. product/name
D. /productW Courier Newlr Z
Answer: A, C
Question: 128
Select which of the following is an XSLT instruction to create a new node in a resulting
XML document.
A. xsl:attribute
B. xsl:cdata
C. xsl:element
D. xsl:entityW Courier Newlr Z
Answer: A, C
Question: 129
Press the Exhibit button to view the external DTD subset "prod. dtd". Select which of the
following correctly describes a valid XML document when the external DTD subset "prod.
dtd" file is generated.
A.
B.
63
C.
D.
E.
Answer: A
64
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(1) A file that contains program instructions. See source code.
(2) A file that contains original or essential data that is the starting point for a system of publishing or other processing. For example, the text files of this encyclopedia, which are continuously edited, become the source files for deployment each cycle. They are the source and starting point to generate an XML master that is used to create XML, HTML, Windows, iPhone and Android versions.
Writing documentation and information in one format and publishing it in multiple formats. For example, the source text could be written in a word processor and converted to a variety of different formats such as PDF, HTML and XML. PDF is especially popular for publishers that are printing books. See PDF, HTML and XML.
We Do Single Source Publishing
The production of this encyclopedia by The Computer Language Company (CLC) is an example of single source publishing. The source text files are written and maintained in the XyWrite III Plus format (a rather ancient text editor that most people never heard of!). From the XyWrite source files, a conversion program, written in C, turns the text and XyWrite format codes into a set of XML master files.
From the XML masters, additional conversion programs create six formats: one HTML feed and two types of XML feeds for CLC customers who host the Encyclopedia on their servers; HTML definitions for CLC's own hosting system; proprietary glossary files used for CLC's popular Windows lookup engine, as well as Open eBook files for CLC customers who publish in that format. See XyWrite and CLC.
What is a master’s in data science and what will you learn in an online program?
Pursuing a master’s degree in the fast-growing field of data science can help you to advance your career in a wide variety of tech-related roles. Expect to learn a broad set of skills, including how to use computer programming languages and about applied statistics, database systems, and machine learning. The skills and concepts you learn in a master’s degree program will prepare you for a career in data science to help organizations make strategic decisions based on the data they collect. There’s no significant difference between online and on-campus data science programs—schools typically offer the same courses that are taught by the same professors, regardless of the format.
General curriculum and skills taught
You can expect a comprehensive curriculum in an online master’s degree program in data science that draws on both statistical and computational methods. Programs will emphasize the real-world application of these knowledge and skills, while offering a multidisciplinary approach to the field that also draws on statistics, computer science, and law. Data science is about more than numbers, however; you will also learn “soft skills” about how to effectively communicate the lessons learned and collaborate with others to learn how to best utilize information in an ethical way. Core coursework at many data science programs covers the following topics:
- Machine learning
- Data mining
- Data visualization
- Cloud computing
- Research design
- Information ethics
- Statistical analysis
- Data engineering
Project-based learning
Beyond the core and advanced-level coursework that are common among all data science programs, some schools also offer mandatory or optional project-based learning opportunities. These projects focus on the real-world application of the skills learned in the program, and can be an opportunity for students to display the skills learned during a program to potential employers. The master’s degree programs at both the University of California-Berkeley and Bay Path University, for example, both include a culminating capstone project that draws upon the skills learned throughout the course of the program. Such projects may extend the length of a master’s degree program, however.
Specializations and concentrations
While the core coursework required for completing a master’s degree in data science is intentionally comprehensive, many programs offer specializations or concentrations so students can carve out a niche within this field. The University of Illinois at Urbana-Champaign offers advanced coursework in cloud computing and scientific visualization, while Texas Tech University has advanced coursework in multivariate analysis and project management. Concentration options may include:
- Machine learning
- Business analytics
- Artificial intelligence
- Data engineering
- Data visualization
Admissions information
While admissions requirements can vary by school, graduate degree programs require the following of aspiring data scientists:
- Successful completion of a bachelor’s degree, as demonstrated by an official transcript from a college or university
- If you don’t have an undergraduate degree in a data-related field (like computer science), you may need to demonstrate that you have sufficient work and educational experience in fundamental concepts on your résumé
- You may also use your personal statement or essay to highlight your unique characteristics and goal for the program
- Letters of recommendation from supervisors, professors or alumni of the program
- Many top-ranked data science programs no longer require you to submit GMAT or GRE scores, though you may need to if you don’t meet minimum undergraduate GPA requirements
- Some master’s degree programs in data science, like the University of Illinois Urbana-Champaign, may require applicants to complete a data proficiency exam
GMAT, GRE & GPA
A majority of online master’s degree programs in data science have waived GRE or GMAT score requirements and, in fact, only two schools on Fortune’s ranking still require applicants to submit scores as part of that application process. That said, you may submit this information particularly if you want to provide additional supporting information that’s helpful in the admissions process. Moreover, GPA requirements also vary by school and may be waived with sufficient work experience.
Which factors drive acceptance?
While admissions officers strive to take a holistic approach when evaluating candidates, they will be particularly interested in your educational background and work experience in a data-related field. Applicants to some data science programs, like the University of Wisconsin-Madison and the University of Connecticut, must show they’ve completed particular quantitative college-level coursework, while other programs like Syracuse University place a greater emphasis on the personal essay and what applicants emphasize they’re looking for in the program, why they chose it, and what their goals are.
The online master’s in data science experience: What is it like to study online?
Online learning has been growing in popularity in latest years, and students considering a master’s degree program in data science can often choose between an in-person or online option within the same school. Data science programs may offer a mix of both synchronous and asynchronous learning, meaning courses that either need to be attended live at a particular time or at the student’s convenience, and could include some limited in-person elements.
For the most part, students can expect to participate in class discussions via video conferencing or using other technology. And because of the online format, many students who pursue a master’s degree in data science are working while attending school with a goal of either switching careers or advancing their current career in data science.
How to choose the best online master’s degree program in data science for you: Factors to consider beyond rankings
Fortune’s ranking of online master’s degree programs in data science is a good starting place when comparing various programs. We emphasize selectivity (schools with top-notch faculty that attract some of the brightest students) and demand (based on the size of the student body), since the people you meet in graduate school could be transformative to your future career.
That said, prospective students should also consider how a particular program will help you achieve your goals and advance in the field of data science. Other factors that may be important include cost, a school’s prestige, its curriculum, and the years of work experience schools may require of applicants.
Start times, schedule, and program length
As data science programs have grown in popularity, schools have beefed up the number of start dates they offer. The University of Illinois and UC Berkeley, the No. 1 and No. 2 ranked programs, both offer three start dates throughout the year. Students may have some flexibility in choosing their schedule and how long it takes to complete the program of their choice, though two years is common.
Project-based learning
As indicated, some data science programs include project-based learning opportunities that focus on the real-world application of skills taught in the program. Because these projects can be useful to show potential employers, career switchers may want to consider prioritizing schools with project-based learning opportunities—even if they could extend the program’s length.
Concentrations
As you think about your career goals post-graduation, you should also consider the concentrations offered by various data science programs. By carving out a specialty within data science, that may make you a more attractive job candidate for some employers—and it could increase your earning potential. People with the title of “data scientist” can earn up to $170,000, while manager-level professionals in the field could fetch salaries of as much as $250,000.
Cost
The cost of a data science program is undoubtedly a factor to consider when applying to school—and tuition varies widely. Students may be able to pay one-year tuition of about $20,000 (or less) at schools like the University of Illinois Urbana-Champaign, Loyola University Maryland, the University of Missouri-Columbia, and CUNY School of Professional Studies. That said, the cost of tuition exceeds $50,000 at UC Berkeley, Syracuse University, and the University of Denver.
Network and access to alumni
The more students a data science program has, the larger its alumni network. This is important to consider during your selection process, not only because your cohort can be a defining characteristic of your grad school experience even if you’re attending classes online. What’s more, the network and a school’s ability to connect you with alumni may help you when looking for jobs—and particularly if you’re not already working in the field.
Years of work experience
Because many data science programs are seeking out applicants who already have relevant work experience, it may be useful to see how your experience compares. What’s more, the amount of work experience will inherently influence how advanced your fellow students are in their careers. Worcester Polytechnic Institute reports that students have an average of 8 years of work experience, while roughly half of the master’s degree students in New York University’s program enroll straight out of undergrad.
Careers for master’s in data science graduates
There’s a hot job market for data scientists thanks to robust demand—and that means many graduates of master’s degree programs are fielding multiple, six-digit salary offers. Big tech companies are a likely career path for many data scientists. A survey of more than 11,000 data scientists found that the companies with the largest teams of data scientists are Microsoft, Facebook, and IBM. And Apple, for example, pays as much as $182,000 for data scientists.
Financing and scholarships
If your goal of obtaining a master’s degree in data science is to advance within your current company, then your employer may help pay for the cost of the program. New York University grants tuition scholarships to some master’s degree students, while UC Berkeley offers several fellowships of varying amounts.
You may also want to seek out a growing number of scholarship or fellowship opportunities from private organizations. Some examples that are available to master’s degree students include:
- The Association of Computing Machinery (ACM) awards computational and data science fellowships to diverse candidates with a $15,000 annual stipend.
- Acxiom awards $5,000 scholarships to U.S.-based students from diverse backgrounds who are enrolled full-time in various programs that include data science.
- Although it doesn’t specify the amount, the American Statistical Association (ASA) offers a pride scholarship to students enrolled in a data science graduate program and identify as LGBTQ+ or an ally.
Finally, current members of the military or veterans may want to consider covering the cost of your data science program with Post-9/11 GI Bill benefits or the Yellow Ribbon Program, which can cover any tuition and fees not covered by those benefits.
Frequently Asked Questions
While still relatively new, data science is a field that incorporates preparing and analyzing data to draw conclusions. Data scientists design and build new processes for data modeling by using algorithms, prototypes, predictive models, and custom analysis. People should pursue data science if they’re interested in asking questions and creating algorithms and statistical models to estimate the unknown.
All of the data in the world is projected to grow to a staggering 181 zettabytes by 2025. And this growth has translated into high demand for data scientists—even outpacing the speed with which colleges and universities can train them. Data scientist ranks No. 3 among the 50 best occupations in the U.S., according to Glassdoor’s list of the best jobs for 2022, and was beat out only by the roles of enterprise architect and full stack engineer.
Some people may choose to follow a step-by-step guide to become a data scientist. First, you may want to pursue an undergraduate degree that focuses on technical skills like programming or statistics. Then, you should identify an area of specialization and hone this specialization by enrolling in a master’s degree program in data science. Finally, you should showcase your data science experience when applying for jobs.
In addition to high demand, people with a master’s degree in data science can expect to enter a rapidly-growing field with solid salary prospects. Through 2026, the U.S. Bureau of Labor Statistics (BLS) projects data science jobs will grow by 28% per year. Even before graduation, some data science students in master’s degree programs are fielding offers of $125,000 and up.
As with any career, pay prospects can vary by company and role. Data scientists made a median salary of $164,500 in 2020, according to a 2021 survey of engineering professionals by the Institute of Electrical and Electronics Engineers (IEEE).
The median base salary for data scientists is $120,000, according to figures from Glassdoor, though the likely range for positions goes as high as $294,000. Some tech companies are even paying in excess of $300,000 for senior-level data scientist roles.
The sky’s the limit for job opportunities for data scientists, including careers in tech, entertainment, pharmaceuticals, telecom, sports, consulting, or even as a company executive who understands data. What’s more, new job titles are likely to be created, particularly related to ethical concerns with sensitive data and as companies look for new ways to utilize their massive data sets and emerging technologies such as cloud computing, A.I., and machine learning.
In 2012, Harvard Business Review called the role of a data scientist “the sexiest job of the 21st century.” Ten years later, data science remains a good career field for many people thanks to the wide range of jobs available now and in the future, along with robust demand and six-figure salary prospects.
The class of 2022 from master’s degree programs in data science were fielding job offers, with competitive salaries, months ahead of graduation. Demand for data scientists is growing faster than colleges and universities can train them. Even so, job applicants should still expect a rigorous interview process that often entails showcasing examples of work or a commitment to staying up-to-date in a rapidly changing industry.
The Master's in Learning Experience Design is currently under review and will not be accepting applications for 2023-2024.
Create transformative educational encounters.
The days of students sitting silently in desks as a teacher writes on the blackboard are long gone. Effective educational experiences today are deeply interactive, engaging, and (ideally) even fun. Archeology students don’t merely read about dig sites in textbooks: They virtually explore 3-D images on their phones.
Brandeis GPS takes you into this new frontier of instructional design to show you how to create environments truly conducive to how people learn. In small classes taught by practicing professionals, you will:
- Gain skills that specifically relate to learning experience design (most programs focus on traditional instructor design).
- Develop a portfolio of interactive media objects, educational games and design interfaces.
- Learn to use data analytics, learner and contextual analysis, and interface design assessment to evaluate learning experiences and resolve educational challenges.
This online master's in Learning Experience Design has received official STEM (science, technology, engineering and math) designations.
Courses and Requirements
Part-time | Fully online | Financially accessible
Your 30-credit MS in Learning Experience Design program has seven required courses and three electives.
Program requirements like Principles of Learning Experience Design will expand your understanding of fundamental topics, while electives such as Adaptive and Game Based E-Learning Design and Interactive Multimedia Courseware Design supply you a chance to develop skills in specific areas of interest.
The Learning Experience Design Industry
Education's new frontier
Career opportunities are booming for learning experience designers who take a holistic, learner-centered approach to creating transformative educational experiences for students. They consider learning outcomes, motivation and learning environment efficacy to shape lessons that stick.
Whether it's in K-12, higher education, corporate training and development, or EdTech, cutting-edge educational approaches based on game design theory or artificial intelligence are changing how people learn and teach.
Data science is one of the fastest growing fields—job openings have increased 480% since 2016, according to Glassdoor. And students graduating with a master’s in data science often land six figure salaries. The reason it’s a fast growing field, with high paying jobs, is because companies across all industries want data-savvy professionals in this era of digitization. Data provides companies and organizations with the resources they need to make better decisions—and in turn, they need professionals with data science skills who know how to understand and analyze data.
The GPA you’ll need to get accepted into a master’s program for data science varies by school. The University of Minnesota, No. 3 on Fortune’s ranking of the best master’s in data science programs, listed its average GPA for its students admitted for the 2020-2021 school year as 3.68. For the same period, the University of San Francisco’s was 3.47, the University of St. Thomas’ was 3.14, and the University of Michigan’s was 2.63—although it’s a bit of an outlier.
Master’s degree programs in data science can be offered in person, online or in a hybrid format—and that might be the difference in what the “best program” for you means. Fortune ranks the top five in-person programs as: the University of Michigan, Harvard University, the University of Minnesota, the University of San Francisco, and the University of St. Thomas. Additionally, our ranking of the top five online programs include: the University of Illinois, UC Berkeley, Texas Tech University, Bay Path University, and Worcester Polytechnic Institute.
On average, it takes about one-and-a-half to two years to complete a master’s degree program in data science—with most programs requiring roughly anywhere from 25 to 60 credits to graduate. So it does depend on each individual program and whether you choose to be a full-time or part-time student. That said, thanks to a boost in salary and expanded career options, many students find it worthwhile to obtain a master’s degree in data science—and Gen Z considers the role of data scientist to be one of the most satisfying occupations.
A master’s degree in data science will teach you how to understand and analyze data. But because it’s a recently defined career path, how it’s applied can vary significantly. As Maurizio Porfiri, a New York University professor, told Fortune: “It’s a weird thing because it’s very vague. I discovered after a while that I had become a data scientist: people just started to refer to me as such.” But sometimes the first step to finding your place in the world of data science is picking a specialization—what type of problem you want to solve by using data. And a master’s degree can either help you find that specialization, or if you’ve already got the answer, will teach you the skills to pursue it.
Fortune compiled a list of seven universities that offer free online data science courses, which offers prospective students an opportunity to learn more about this field. Each university—Harvard University, the University of Michigan, UC Irvine, John Hopkins University, Columbia University, MIT, and Duke University—offers a different course, from linear regression to data science ethics to data science in real life. However, the common goal of these free courses is to supply people an inside look into the field.
In 2020, data scientists made a median salary of $164,500, according to a survey conducted by the Institute of Electrical and Electronics Engineers—that’s close to an 8% increase from the previous year. Karen Panetta, dean of graduate education for the School of Engineering at Tufts University told Fortune that her “2022 grads are getting offers at $125,000 and $135,000.” And a degree from a top program might mean even more money—UC Berkeley (ranked second on Fortune’s best online data science programs) 2021 graduates with a master’s in data science, earned an average salary of $155,000, according to data provided by the university.
- Master of Software Engineering
- 100% online
- Part-time
- 30 credits
- Finish in < 3 years
- GRE/GMAT not required
Establish yourself as a technology innovator.
From mobile devices to revolutionary breakthroughs in Artificial Intelligence, software-enabled technology permeates every aspect of our daily lives. Rapid developments in cloud computing and Internet-of-Things are further accelerating changes in the software engineering sector and cybersecurity.
Our practical, real-world curriculum will help you keep up with these and other trends shaping the industry. You'll gain hands-on experience from faculty, who are also leading practitioners, in courses developed with feedback from our advisory board of software and cybersecurity industry leaders.
Join other working professionals in our renowned online Software Engineering master's degree as you:
- Expand your skills in areas such as designing, developing, validating, and maintaining software systems.
- Immerse yourself in best practices, cutting-edge technologies, and life cycle approaches.
- Develop a strong project portfolio to show current or prospective employers.
- Receive individualized attention in small, asynchronous classes of no more than 20 students.
This program has received official STEM (science, technology, engineering, and math) designations.
Courses and Requirements
Part-time | Fully online | Financially accessible
Your 30-credit Master of Software Engineering program includes six required courses on courses aligned with the software development lifecycles, such as object-oriented design, expert software development, and software testing techniques. Choose up to four elective courses, such as Cloud Computing or Mobile Applications and Responsive Web Design, to build specific professional skill sets and enrich your overall studies. Additionally, students have the opportunity to declare a concentration in cybersecurity using their elective selections.
The Software Engineering Industry
An in-demand occupation
Software engineering remains one of the hottest technology sectors. And with increasing business strategy shift to cloud computing, mobile solutions, Big Data and analytics, that's not likely to change any time soon. The U.S. Bureau of Labor statistics projects 22% employment grown for software developers over the next decade — far greater than the national average for all other fields.
The online architecture program’s studies explore subjects such as integrated building systems, urban planning, industrial ecology, and more. Students can also select electives based on their interests and career goals.
Standard Pathway Courses
The Standard M.Arch. is 105 credits and can be completed in 44 months. This pathway is for students who have a bachelor’s degree in an area other than architecture.
During the first year of the Standard pathway, you will develop an understanding of the basics of architecture in foundation courses. After completing foundation courses, you will take a more in-depth look at architecture, exploring courses such as architectural theory, integrated building systems, urban planning, and industrial ecology.
View a demo course schedule and learn more about the Standard M.Arch.
Advanced Standing Pathway Courses
The Advanced Standing M.Arch. is 78 credits and can be completed in 32 months. This pathway is for students who have a bachelor's degree in architecture or a related field.
You will follow a curriculum similar to that of the Standard pathway, but will skip the first year of foundational course work and dive right into in-depth courses such as integrated building systems, urban planning, and industrial ecology.
View a demo course schedule and learn more about the Advanced Standing M.Arch.
Numerous courses in the architecture curriculum require students to purchase supplies for use in class. Please review the Supply List for required supplies prior to starting the Master of Architecture program. For additional information, visit our Accreditation and Support page.
A master’s degree could lead to higher pay and career advancement, but that’s not always the case. The cost of graduate school and how you pay for it play large roles in determining whether a master’s degree is worth it.
Here’s how you can decide if obtaining a master’s degree is right for you.
You could earn more with a master’s degree
Wages tend to increase with higher degrees. The median annual salary for workers with a master’s degree was around $81,848 in 2021, according to the U.S. Bureau of Labor Statistics; that’s compared to bachelor’s degree holders who earned about $69,368.
The type of master's degree also matters when figuring out your earnings potential. Here are the top-paying jobs that require a master's degree for 2021, according to the Bureau of Labor Statistics.
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Computer and information research scientists |
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Industrial-organizational psychologists |
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Source: U.S. Bureau of Labor Statistics |
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Where you study also matters. Some grad schools report higher starting salaries for their graduates than others.
For example, the median base salary of graduates with a Master of Business Administration from the Tuck School of Business at Dartmouth is $175,000 for the class of 2022, according to the school's website. This is compared with a median starting salary of $75,000 for MBA graduates in the 2021-22 academic year at Claremont Graduate University Drucker School of Management, per the school's website.
Master’s degree holders are more likely to be employed
Master’s degree holders tend to have lower unemployment rates than those with a bachelor’s degree. In 2021, the unemployment rate for workers with a master’s degree was 2.6% compared with 3.5% for those with bachelor’s degrees, according to data from the Bureau of Labor Statistics.
Although not always the case, a lower unemployment rate could indicate a greater chance of remaining employed during times of economic uncertainty. It could also mean simply having more options — and greater leverage in the labor market.
Here are some of the fastest-growing jobs that require a master’s degree, according to the Bureau of Labor Statistics. These jobs are based on the projected number of openings and projected growth rate from 2021 to 2031.
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Projected number of new jobs (2021 to 2031) |
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|---|---|---|
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Computer and information research scientists |
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Source: U.S. Bureau of Labor Statistics |
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Note that a master’s degree doesn't ensure a higher salary and a recession-proof career: There are occupations where you can thrive with a bachelor’s degree.
For example, management analysts, medical and health services managers and software developers with bachelor’s degrees earned a median salary of $80,000 or more in 2021, according to the Bureau of Labor Statistics.
Consider the cost of a master’s degree
To really understand if a master’s degree is worth it, weigh the benefits against the costs.
The average cost of graduate tuition and fees for the 2020-2021 academic year was $12,394 per year for public institutions and $26,621 per year for private schools, according to data from the National Center for Education Statistics.
However, note that the above costs are averages. Graduate school tuition can vary by school, type of degree and length of the program, among other factors.
And outside of tuition and fees, don’t forget living expenses if you’re going back to school full time. Many colleges include cost of living in their total cost estimates.
Pennsylvania State University, for example, estimates $23,300 for living expenses — including books and supplies — and $3,700 for mandatory health insurance for the 2023-24 academic year. These cost estimates are on top of tuition and fee estimates.
How to pay for a master's degree
How you pay for graduate school can also impact the total cost.
Taking out graduate school loans can increase the total cost because of the interest rates you’re charged on the loan. That’s why it’s best to try funding your education through scholarships, fellowships and grants — money you don’t have to pay back.
Then, consider any tuition assistance you can get from your employer if you’re working. Employers may pay a portion of your tuition — up to $5,250 tax-free — either as a reimbursement or by paying your school directly. This benefit usually comes with stipulations, however. For example, you may be required to study a Topic related to your career field or continue working for a number of years with the company after graduating.
Once you’ve exhausted options for free aid, research graduate student loans to cover any remaining costs. But the idea is to minimize — or eliminate — the amount you borrow.
Start by filling out the Free Application for Federal Student Aid, or FAFSA. This will show you free aid and federal student loans for which you qualify.
Should I get a master’s degree?
Deciding whether to invest in a master’s degree depends on several factors that can vary for each individual. Before making a decision, consider:
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Projected earnings of your desired career field.
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Total cost of each school you’re applying to.
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Scholarship, fellowship and grant opportunities.
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Federal, then private graduate school loans that will offer the best interest rates.
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Estimated student loan payments once your grace period ends.
Learn
Gardening in Wyoming can be a challenging. Making educated decisions about plant selection and adapting growing practices to Wyoming's environment can turn a challenge into a rewarding experience. UW Extension's Master Gardener training is a comprehensive horticulture program focussed on successful food production and sustainable landscapes in Wyoming. A team of UW Extension educators provide Master Gardener trainees over 40 hours of horticultural education.
Give
After completing the training, Master Gardener Volunteers supply back to their communities by helping promote and encourage gardening success in Wyoming. Volunteer activities are coordinated at the county level to address local needs and opportunities. Master Gardener Volunteers are asked to provide 40 hours of volunteer activity in order to earn their Master Gardener Volunteer certificate. Some examples of volunteerism include community tree planting efforts, growing and donating produce, community beautification, assisting with farmers markets and community gardens, answering gardening questions, teaching others about growing plants in Wyoming gardens and landscapes, and other meaningful ways that engage volunteers and benefit Wyoming residents and communities.
Grow
If you have an interest in gardening and want to help your community grow, the University of Wyoming Extension Master Gardener program is for you. Annual online trainings are available statewide. Face to face trainings are offered through UW Extension offices in some counties.
More Information
Contact:
Chris Hilgert
Univesity of Wyoming Extension Master Gardener Program Statewide Coordinator
or
Visit you local University of Wyoming Extension office
MASTER GARDENER TRAININGS
The next online Master Gardener training is currently in the planning stages. We plan to offer the next online training beginning in September 2023. Registration will open around August 1, 2023. If you would like to be notified when registration opens, please contact UW Extension Master Gardener Statewide Coordinator, Chris Hilgert.
University of Wyoming Extension offers annual online Master Gardener trainings that begin in the fall and run through the winter months, typically mid-September through early-February with some breaks built in around the holidays. The online class is both synchronous (live), and asynchronous (self-paced). Students may join live, weekly classes using Zoom, and classes are taught by team of UW Extension educators who are prepared to help Wyoming gardeners succeed. Live classes allow for questions, discussions, and engagement with instructors and other class members. Life too busy to attend our live classes? No problem! Online course content, including class recordings, allows students to complete assignments and review class lectures when it fits into a busy schedule. It is possible to complete the training by keeping up with memorizing assignments and attending weekly live classes, a combination of attending live classes and watching class recordings, or by watching class recordings and completing assignments at your own pace. Students have access to all available options, and can choose their prefered option.
Can't wait to start learning more about gardening in Wyoming? Our book is available for free.
Sustainable Horticulture for Wyoming: A Master Gardener Handbook
Example Master Gardener Training Schedule (Class schedule subject to change)
Week 1: Introduction and Overview of the UW Extension Master Gardener Program, Navigating Online Course in WyoLearn
Week 2: Botany Basics
Week 3: Soil Health and Fertility, Composting
Week 4: Plant Propagation, Interior Plants
Week 5: Growing Vegetables and Herbs, Extending the Growing Season
Week 6: Fruit Trees, Berry Crops
Week 7: Woody Plants
Week 8: Herbaceous Plants
Week 9: Lawn Care
Week 10: Integrated Pest Management, Understanding Pesticides
Week 11: Plant Diseases, Diagnosing Plant Problems
Week 12: Weed Management
Week 13: Entomology
Week 14: Volunteering in the UW Extension Master Gardener Program
WYOMING MASTER GARDENER VOLUNTEERS
Thank you for using the Online Volunteer Reporting System to enter your Master Gardener volunteer activities, continuing education, and pounds of produce donated. This helps capture the positive impacts Master Gardener Volunteers are making around the state.
Online Volunteer Reporting System
GARDENING RESOURCES
Plant Disease Diagnostic Clinic
Submit a Sample
Please contact us before sending a demo to ensure deliveries received promptly.
Contact:
William Stump
Extension Plant Pathologist
Phone: (307) 766-2062
Email: wstump@uwyo.edu
Transformation starts here. In Bethel Seminary’s Master of Divinity program, you’ll build a strong foundation of biblical and theological knowledge, and learn to integrate spiritual and personal formation for holistic growth and mature leadership.
Bethel's Master of Divinity program gives you the knowledge and skills to lead as a teacher, pastor, or chaplain or pursue a seminary doctoral degree. You’ll study theology and Scripture, gain a Christian worldview, and develop personally and spiritually so that you’re prepared to follow your calling.
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