Master’s in Data Science – Your Guide to Data Science Graduate Programs

Featured Online Master’s Programs

Who is a data scientist?

Found at the cross section of business and information technology, a data scientist is a professional with the capabilities to gather large amounts of data to analyze and synthesize the information into actionable plans for companies and other organizations.

This, of course, is the most simplistic way to look at what exactly a data scientist does. On any given day, a data scientist is a mathematician, a statistician, a computer programmer and an analyst. To be a data scientist is to be equipped with a diverse and wide-ranging skill set, balancing knowledge in different computer programming languages with advanced experience in data mining and visualization.

Technical skills are not all that count, however. Data scientists often exist in business settings and are charged with making complex data-driven organizational decisions. As a result, it is highly important for them to be effective communicators, leaders and team members as well as high-level analytical thinkers.

Data scientists are highly sought after in today’s data and tech heavy economy, and their salaries and job growth very clearly reflect that.

Data Science Programs and Related Degrees

The first step in entering the field of data science is to pursue higher education to acquire or fine tune the skills needed to succeed in the workplace. Do you see yourself working in data analysis? Statistics? Data Engineering? There are many different areas of data management to choose from. In an effort to provide you with all the materials necessary to make an informed decision, we have compiled information on master’s in data science and related degree programs that can guide your decision to launch your career in the field.

Pursuing a degree in data science is a wise career choice for those looking to gain a wide breadth of skills in various tech-related areas. Typical data science program coursework features core classes in topics like applied statistics and hones in on lessons in programming skills such as SQL and Python as well. Master’s in data science programs may help prepare graduates for job opportunities in a wide variety of fields and sectors – from data architecture to computer engineering and programming.

Master’s degrees in business analytics focus on the application of data to study consumer, market and world economic trends. Students of business analysis study processes and techniques in turning large amounts of collected data into actionable business strategy insights. For example, a business or market analyst might observe a trend in consumer behavior and advise operational changes as a direct result of their observation. For business analytics enthusiasts, “data-driven decisions” is the name of the game.

First things first: What is an Information System? An information system is a system, typically technology driven, that collects, organizes, illustrates and synthesizes various forms of information and data. Today, most information systems fall under the category of “computer-based” and are used to support the business processes of organizations.

Master’s degree programs in information systems (IS) are usually geared towards individuals interested in technology management in business settings. Information systems students are trained in IS design and analysis, database management and systems architecture.

Data science, business analytics, and information science are not the only degree programs that deal with data and analysis – there are a variety of others to explore. Depending on your career aspirations, it may be worthwhile to consider some other options for advanced degrees.

For those with a specific interest in computer programming, degree programs concentrated in fields like computer science, computer engineering or cybersecurity might be worth pursuing. These fields are experiencing huge career growth, with the Bureau of Labor Statistics reporting 13% growth in jobs for computer science and 28% growth for cybersecurity.

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Another route to take, specifically if you have a duel interest in data science and another unrelated field, is to explore programs that merge data science with unique other fields:

• Health Informatics: Learn to create, analyze and interpret biological data to help discover trends in world health and medicine.
• Geological Information Systems (GIS): For the field of geology, GIS are a vital tool in unearthing geographic data, analyzing spatial information, and even in editing data in mapping.
• Data Analysis for Public Policy: The field of public policy makes heavy use of data in order to interpret domestic and world trends in fields like population, mortality, and education levels.

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How to Choose Your Data Science Master’s Program

Online vs. On-Campus Data Science Programs

It is quite common for those interested in pursuing a master’s in data science to be busy working professionals. For these individuals, the various factors involved in enrolling in a traditional master’s program (relocating, putting your career and income on hold, etc.) may seem challenging and, in some cases, insurmountable. Online data science programs could be an easier way to obtain a master’s in data science because of the flexibility and efficiency they offer students.

Even with the many advantages online master’s in data science programs offer, some people are still reluctant to enroll for a variety of reasons. Peer networking opportunities, face-to-face interaction, and relationship-building with professors are a few commonly cited reasons for dismissal of online programs. Although these are all valid, online data science degrees do exist that integrate each of these factors into their degree programs – and it is important to look out for comprehensive online degrees when researching program options.

Full vs. Part-time Data Science Programs

Depending on your availability, you may wish to consider an part-time graduate program in data science. Universities often will offer both options of enrollment.

Students may be able to complete their part-time data science degree within three years. Some data science programs will provide the option to enroll in two classes per semester over the course of fall, summer, and spring semesters.

Full-time students in data science programs can complete their degree in a little more than one year or less. Registration options for coursework may include up to three courses a semester.

Different Types of Data Science Degrees

Data Science Subject		Coursework Descriptions
Computer Programming	→	Data Structures and Algorithms Programming Languages and Advanced Techniques Computational Thinking
Data Engineering	→	Computing and Networking Systems Data Acquisition Technologies Legal Aspects of Data Engineering and Data Ethics
Applied Statistics	→	Statistical Analysis Multivariable Analysis Scientific Computing
Business Analytics	→	Financial Services Analytics Principles of Management Services Marketing Analytics
Computer Science	→	Computer Architecture Mobile Computing High Performance Computing
Information Security	→	Cybersecurity Management Information Security and Controls Computer Security

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Careers in Data Science

Gaining a degree in data science, or other related fields, opens the door to a variety of different career pursuits. Apart from entering into a career as a data scientist or analyst, there are opportunities in engineering, statistics, marketing, and various other fields to consider as well. Explore a few below!

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^{1 – All salary information for data science careers was acquired from Glassdoor.com as of September 2018}