Masters in Data Science

What Do You Learn in a Masters in Data Science

Those who complete a master’s degree in data science may learn a lot about the data landscape and how quickly it is changing. One of the reasons students embrace this type of education (and employers often seek it out in employees) is because of just how complex and ever-changing the field is. This type of degree may enable students to get more of the most recent and modern skills they need to work in the field.

The master of data science degree aims to teach a wide range of topics, including predictive modeling, artificial intelligence, data visualization, big data, and machine learning, among others. The goal is often to build on current skills to better manage, visualize, and explore data sets using the most up to date technologies and resources. This often means using applied data science and analytical methods within the course work.

Those who complete this graduate level degree in data science may hope to work as data scientists or in other fields of computer systems. They may work in the private or non-profit sector as well as government positions as a result.

The courses available to students in data science may offer some flexibility. Students may wish to pursue various electives to achieve their desired educational and career path.

Masters in Data Science

Top 25 Schools with a Masters in Data Science

Consider these colleges and universities in the U.S. graduating the highest number of students with a master’s degree in data science, as reported by the NCES in the 2019/20 school year.

College / UniversityGraduatesAcceptance Rate
Brown University327%
University of Wisconsin-La Crosse2673%
Michigan Technological University2374%
University of Wisconsin-Green Bay1885%
University of the Pacific1666%
University of Wisconsin-Eau Claire1182%
University of Wisconsin-Oshkosh1176%
University of Wisconsin-Stevens Point985%
University of Alabama at Birmingham774%
Western Michigan University380%
University of Wisconsin-Superior282%
Montana State University182%
Saint Mary’s College181%

Courses for a Master’s Program in Data Science May Include

1st course Psychology of Learning

Math for Data Scientists

In this course, students may learn techniques for interpreting mathematical models. These could occur across multiple disciplines in mathematics. Those may include linear algebra, discrete math, probability, and calculus. This course aims to provide a base for other courses taken in this program.

2nd course Teaching and Learning

Applied Statistics with R

The base of this course is often statistical analysis. Students may cover topics such as evaluating statistical information and performing data analyses. In this course, the R language is often introduced to be used in statistical analysis. Descriptive statistics, central tendency, and probability theory may all be covered, among other topics.

3rdCourseALT

Data Science in Practice

This course is typically based on case studies. The purpose is often to provide problem solving skills and to teach technical and leadership roles in the field of data science. In this course, the students may act as data scientists while using the case studies as a guide.

4thCourseALT

Database Systems and Data Preparation

Data management and preparation are often the base lessons for this course. Items such as the relational model, normalization process, and structured query language may all be covered in this course. Data cleaning and integration, database programming, and load operations are all topics that may be covered..

5thCourseALT

Practical Machine Learning

The basis of this course is often to introduce machine learning and how it applies to business applications. Students may learn various algorithms and application techniques as a part of the course. Students may also implement machine learning models that may be used in the field of data science.

6thCourseALT

Decision Analytics

This course is designed to cover a number of topics in data analytics. Solution techniques, modeling approaches, and fundamental concepts are all topics that may be covered in this course. Linear programming, goal programming, and network optimization may all be covered in this course.

  • Some of the nation’s most affordable tuition rates, from a private, nonprofit, NEASC accredited university
  • Qualified students with 2.5 GPA and up may receive up to $20K in grants & scholarships
  • Multiple term start dates throughout the year. 24/7 online classroom access

6 Most frequently asked questions (FAQs) about a masters in Data Science

Many people have questions about completing a data science degree. Take a look at some of the most commonly asked questions about a master’s degree in data science.

This may range from one school to the next. Most often, a student may be able to complete a master’s degree in data science within 1 to 2 years. There may be accelerated programs available, especially for those who already have a bachelor’s degree in the field. Coursework requirements often determine the length of the program and differ between schools.

This is not always the case. Some students do not earn a master’s degree, but rather start working with a bachelor’s degree. However, a data science master’s degree often goes further and offers more coverage of the many disciplines that fall under data science. This may mean that having a master’s degree helps students to gain an additional level of education and skill building they may not already have.

It may be possible to obtain a job as a data scientist with a master’s degree. Some people may be able to start their career with a bachelor’s degree. However, many employers may require a master’s or higher education per BLS.

The courses completed and required may differ from each educational program. However, many students need to complete a degree that offers topics such as mathematics, social sciences, statistics, computer science, physics, and economics, among other topics specific to the industry. That may include machine learning, artificial intelligence, and system design.

Data science may be a very good career for those that are passionate about computer systems and technology. It is important to know that many organizations, including private sector and governmental agencies, often need employees with these skills to help manage their computer systems.

Many jobs may be stressful, including the work that a data scientist does. He or she is often responsible for being a part of a larger team to help manage problems with computer systems and to solve big problems as they occur.

How much does a Masters in Data Science cost?

Students who are thinking about a career as a data scientist or a similar field may need to come up with funding options for their education. Financial aid may be available to those who qualify. The average cost paid by a master’s student for the 2018 to 2019 school year was $19,314, according to NCES. That makes it important to look for all sources of funding available to cover those costs.

The good news is that there may be a number of different paths for getting that funding. Take a closer look at some of the most commonly used methods for paying for a master’s degree.

Scholarships

It is often important for students to consider scholarship opportunities. That’s because these are funds that may be used to pay for college and other needs, but they often do not require repayment. Students may find a wide range of scholarship options available to them for completing a data science degree, including at the master’s level. Some of the options in scholarships for data science may be readily available.

Alice L. Halton Educational Fund (ALHEF)

Who Can Apply: The Houston Chapter of ARMA created this fund to honor the legacy of Alice L. Halton with scholarships for students pursuing an education for a career in information and records management. Applicants must be actively pursuing an education for a career in information and records management.

Amount: $1,000

Deadline: May 1

LITA/Christian Larew Memorial Scholarship in Library and Information Technology

Who Can Apply: Graduate students who have completed no more than 12 hours in an approved Master of Library Science (MLS) program while attending an ALA-accredited school are eligible for this award. Eligible students must plan to follow a career into the library and information technology field.

Amount: $3,000

Deadline: March 1

Federal Loans

One of the ways to cover the cost of college, including at the master’s level, may be with federal student loans. These loans are often backed by the U.S. government. As a result, they typically may be more affordable and have interest rates that are more competitive other loans. Yet, there may be many requirements to receiving them. At the master’s education level, there might be fewer options available. Some of the most commonly used loans may include the following:

  • Direct Unsubsidized Loans: These are often available to graduate schools and professional students. Unlike direct subsidized loans, which are usually made available to undergraduate students with demonstrated financial need, direct unsubsidized loans often do not have a need based requirement. Many students may be eligible for them.
  • Direct PLUS Loans: These are typically made available to professional or graduate level students. They may be designed to pay for educational expenses that are typically not paid for through other loans. Eligibility for these loans is often not based on financial need. However, some may require a credit check to be performed, and borrowers may not qualify without meeting other requirements in some cases.
  • Direct Consolidation Loans: These loans often enable a student to combine all of their undergraduate and graduate level federal debt into one new loan. This consolidation loan is typically provided after a student completes their education.

Be sure to check qualifications for any federal student loan to ensure your degree path qualifies for it.

Private Student Loans

Private student loans may also be available to pay for a master’s in data science. This type of student loans is usually not backed by the government. That means all of the terms and conditions may be different – and they may vary significantly from one organization to the next. Those considering the use of private student loans should think about the following:

  • Any credit score requirements for obtaining the loan
  • Limitations on repayment adjustments or term changes
  • Costs associated with the loan, including fees
  • Whether the interest rate is fixed or variable and competitively set
  • Consolidation options
  • Repayment options

Private loans may be very helpful for those seeking out a master’s degree in data science. They may often help fill in gaps for funding this graduate level of study.

Is a statistician a good career?

Statisticians may be one of the options for careers for those who complete a master’s degree in data science. These individuals may work to develop and apply mathematical theory and methods in a number of ways. They may use these methods to gather and organize data, interpret that information, and then summarize it (all with a mathematical focus). This information may be beneficial in a number of fields, including economics, business statistics, agricultural statistics, biostatistics, and other areas.

Those who work as a statistician may analyze and interpret data to identify changes and differences in the relationships between data sources. They may also conduct research and create solutions for problems within organizations when found. They may determine whether various methods are fitting, check for inaccuracies, process information, and adjust for raw data. Other could work activities may include interacting with computers to manage all aspects of the data process, analyzing that data, getting information from relevant sources, and interpreting the meaning of that data.

This may lead to the evaluation of technical data to determine plans or designs. They may also work to evaluate data quality and prepare for data analysts.

As a result, those working in this field typically need to have strong mathematical, critical thinking and reading comprehensions skills. They also may need to have analytic and scientific software experience, data mining software experience, and some level of experience with presentation software.

Those working in this field may require a graduate degree. They may also need extensive experience and skill in these fields, often five or more years to obtain a position in some situations. There may be limited access to on-the-job learning.

Masters in Data Science , Statisticians information
  • Mathematics — Using mathematics to solve problems.
  • Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Reading Comprehension — Understanding written sentences and paragraphs in work-related documents.

2020 Median Salary for Statisticians

The following is a list of the median annual salary in 2020 for those working as statisticians as provided by BLS.gov.

State2020 Median Annual SalaryState2020 Median Annual Salary
Alabama$61,530Alaska,$88,120
Arizona$94,910ArkansasN/A
California$108,060Colorado$82,360
Connecticut$92,660Delaware$92,930
Georgia$108,940Florida$72,640
Idaho$114,790Hawaii$70,440
Indiana$79,290Illinois$91,770
Kansas$100,010Iowa$55,210
Louisiana$82,420Kentucky$76,770
Maryland$112,920Maine$66,140
Minnesota$83,240Massachusetts$109,370
Montana$62,010Michigan$75,850
Nevada$97,820MississippiN/A
New Jersey$117,550Missouri$66,950
New York$98,830Nebraska$70,770
North Dakota$63,090New Hampshire$77,730
Oklahoma$59,340New Mexico$61,690
Pennsylvania$82,670North Carolina$100,480
South Carolina$67,330Ohio$81,280
Tennessee$74,450Oregon$77,760
Utah$70,400Rhode Island$99,710
VirginiaN/ASouth DakotaN/A
Wisconsin$70,260Texas$83,400
Washington$99,020Vermont$72,980
West Virginia$73,650WyomingN/A

Is database architect a good career?

The job of a database architect often includes designing strategies for data warehouse systems, enterprise databases, and various networks. Those in this field may also set standards for database operations, security, query processes, and programming. Their work often includes modeling and designing large relational databases for various industry needs.

Some of the tasks completed by a database architect could include designing databases to support specific needs such as reliability, performance, security, and business needs. They may also work with system architects and design analysts to meet industry requirements. They may also develop architectural strategies during the modeling phase and implementation stages. They may also set up database clusters and backup solutions.

A number of key skills are often needed in this field as a result. That often includes software skills in areas such as metadata management, data base user interface and query, and data base management. It may also include web platform development experience. Other core skills could include critical thinking, judgment and reasoning, complex problem solving, and active listening, all of which contribute to the skills on the job.

Masters in Data Science , Database Architect information and skills
  • Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Reading Comprehension — Understanding written sentences and paragraphs in work-related documents.

Some of the activities completed here may include creating databases to store all types of electronic data, designing computer modeling and simulation programs, and working with others to design specifications or details. They may also interact with computers for most of the day, process information, and make decisions to handle problems as they occur.

Those working as a database architect may need to have at least a bachelor’s degree, though some employers may require a master’s degree for the higher level of skill training it may provide. Much of the skill based education here often comes from formal classes rather than on-the-job training. These occupations may require individuals to have 5 or more years of experience as well.

2020 Median Salary for Database Architects

Take a closer look at the median annual salary for those working as a database architect in 2020 according to BLS.gov.

State2020 Median Annual SalaryState2020 Median Annual Salary
Alabama$80,820Alaska$91,560
Arizona$100,670Arkansas$79,730
California$107,880Colorado$99,780
Connecticut$110,790Delaware$93,740
Georgia$99,910Florida$96,200
Idaho$76,030Hawaii$83,590
Indiana$80,060Illinois$97,870
Kansas$89,930Iowa$99,370
Louisiana$75,060Kentucky$91,760
Maryland$95,670Maine$89,150
Minnesota$106,120Massachusetts$112,340
Montana$70,110Michigan$85,090
Nevada$92,490Mississippi$72,220
New Jersey$125,760Missouri$79,170
New York$104,250Nebraska$97,590
North Dakota$81,120New Hampshire$98,720
Oklahoma$73,800New Mexico$75,590
Pennsylvania$83,280North Carolina$104,160
South Carolina$83,550Ohio$92,060
Tennessee$88,090Oregon$101,280
Utah$92,560Rhode Island$100,090
Virginia$109,970South Dakota$82,790
Wisconsin$90,660Texas$104,360
Washington$115,850Vermont$77,610
West Virginia$68,600Wyoming$54,560
Sandy B CONTRIBUTING WRITER

Sandy Baker

CONTRIBUTING WRITER

Sandy has extensive experience writing educational articles for topics ranging from online education to college degrees. She’s worked with several Ivy League colleges to create blogs, newsletters, sales material for recruiting as well as “how to manage” college lifestyle pieces. Additionally, she’s written for well-respected study abroad programs helping students to find international opportunities spanning the globe from South America to Africa and Asia.

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