Masters In Data Science

Across the data science field, professionals with a master’s degree are eligible for lucrative, in-demand careers. According to the Bureau of Labor Statistics, computer and information scientists earn an annual mean wage of $122,840, and these positions are projected to grow by 16% between 2018 and 2028; both of these numbers are significantly higher than the national average for all jobs. Data science professionals are also in demand in manufacturing industries such as navigational, measuring, electromedical, and control instruments.

Masters In Data Science And Analytics

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The benefits of a master’s degree across the data science field are undeniable. Data science graduates with a master’s degree are eligible for more lucrative, in-demand jobs—they tend to earn higher paychecks and they’re projected to enjoy more career stability than those with just a bachelor’s degree. There’s no denying it – a master’s degree is what you need to excel in the lucrative data science field.

Top 19 Colleges With Masters In Data Science Programs

#1 Top Colleges With Masters In Data Science Programs

The program at Drexel University is housed within the university’s College of Computing and Informatics.

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#2 Top Colleges With Masters In Data Science Programs

IIT’s Master of Data Science program, in keeping with its status as a leading technical school (ranked by US News & World Report for Engineering, Computer Science, Math, and Physics), prepares students from various backgrounds for careers in data science with rigorous theoretical and practical training.

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#3 Top Colleges With Masters In Data Science Programs

In the University of Missouri’s Data Science and Analytics Program, students are part of a cohort-based program that emphasizes campus community through on-campus executive sessions each year, along with weekly cooperative tasks.

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#4 Top Colleges With Masters In Data Science Programs

Columbia University’s MSDS degree can be completed part-time or full-time. It includes 21 credits of required and core courses, as well as a capstone project.

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#5 Top Colleges With Masters In Data Science Programs

This MSDS sets itself apart by offering two distinct paths for students: the technical and the decision-maker paths. The technical curriculum includes courses in topics like analysis of algorithms, cloud computing, and security for networked systems.

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#6 Top Colleges With Masters In Data Science Programs

The Johns Hopkins data science master’s degree program is a rigorous program that focuses on topics in both mathematics and computer science.

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#7 Top Colleges With Masters In Data Science Programs

The MAS program is available for early- to mid-career data professionals who work with massive datasets.

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#8 Top Colleges With Masters In Data Science Programs

The MAS program is available for early- to mid-career data professionals who work with massive datasets.

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#9 Top Colleges With Masters In Data Science Programs

The UCSB Data Science 42 credit master’s degree is included in the Master of Arts in Statistics program.

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#10 Top Colleges With Masters In Data Science Programs

A master’s degree in data science at University of Michigan exposes students to the statistical and computational methods required to identify relevant datasets and draw insights from them.

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#11 Top Colleges With Masters In Data Science Programs

This professional master’s program emphasizes teamwork and integration. In the initial semesters, students take courses in languages, computation, and linear modeling.

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#12 Top Colleges With Masters In Data Science Programs

UW’s accelerated Master of Statistics program targets working Wisconsin professionals—especially those who wish to move up the leadership or career ladder.

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#13 Top Colleges With Masters In Data Science Programs

The Bay Path University program offers two tracks to meet the needs of all students.

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#14 Top Colleges With Masters In Data Science Programs

Cabrini University offers a master’s degree in data science that covers four essentials areas: software and programming, business and management, data warehousing and visualization.

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#15 Top Colleges With Masters In Data Science Programs

With Carleton College’s Data Science Master’s program, graduate students can concentrate in data science in one of the 13 participating master’s programs.

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#16 Top Colleges With Masters In Data Science Programs

For more than a decade, the MCDS has been exploring the design, engineering, and deployment of very large information systems. Hands-on experience is important here.

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#17 Top Colleges With Masters In Data Science Programs

A Graduate Program in Statistics (MPS) at Cornell is a Professional Science Master’s (PSM) – an accreditation for programs that combine advanced training in science and math with highly-valued business skills.

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#18 Top Colleges With Masters In Data Science Programs

The Duke program offers students an interdisciplinary education in data science in 42 credits.

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#19 Top Colleges With Masters In Data Science Programs

In Harvard’s three semester, 12-course program, all the skills needed to apply data science to any field are provided.

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What Is Data Science?

In today’s digitized economy, data science is a basic skill that is invaluable to successful business. It’s unlike any other field in that it merges technology, math, business, and even artistry to help a business improve profitability and drive growth. Businesses need data scientists who can capture and analyze data, and translate them into actionable insights.

Data science is the discipline of extracting meaning from data to reveal trends and patterns that may not be immediately obvious. It involves gathering data, cleaning, transforming and bringing it to life using visualization. The result is a powerful story: one that’s backed by the numbers.

What Are The Admissions Requirements For Data Science?

The Admissions Requirements for Data Science programs are very similar, as there are a lot of data science degrees that have already been defined by the academic community. Personal touches may differentiate programs, but in general you will need to have some background in statistics, mathematics, or computer science. In addition to your academic preparation, you will be asked to submit references and writing samples demonstrating your ability to conduct research and create meaningful outcomes.

To ensure that you do not miss out on the opportunity to gain acceptance into a graduate level data science program, it is important to check the school website for updated information regarding GRE/GMAT scores. Most schools offer at least a master’s degree in data science, although some may offer shorter programs or certificate programs.

Which Programs Have Electives?

Electives are an enjoyable and necessary part of the NYU data science program. When it comes to picking electives, students will need to figure out what type of data science they would like to pursue. Electives are available in different areas which include 1) Statistics for Data Science 2) Computer Science for Data Science 3) Business for Data Science 4) Financial Technology & Tech Entrepreneurship 5) Health for Data Science 6) Sales, Marketing, Operations & Advertising Analytics .

How long will the Program Last?

A lot of data science master’s programs last between 18-24 months of full-time coursework. The two biggest factors here are the intensity of the program and the availability of financial aid.

Opportunities For Data Science Majors

Data scientists and analysts are big data experts toiling in statistical analysis, modeling, predictive analytics, and machine learning. Using these skills to analyze large amounts of data, they’re able to identify trends and patterns that can provide insight into business operations. To do so, data scientists use a wide variety of specialized tools, including programming languages and complex analytics software. Often working alongside statisticians, physicists, mathematicians, and programmers, they can be employed by industries such as healthcare, banking, finance, insurance and government.

Average Salary: The national average salary for a Data Scientist is $115,323 in United States.

Machine learning scientists develop methods for analyzing data and improving the user experience. Data is often collected from users through sensors or software that runs on phones, tablets, and other devices. Once that happens, machine learning algorithms determine ways to personalize app features and the range of ads people see within apps. Machine learning scientists might work in research and development teams to develop new algorithms. Or they might work individually as consultants or independent researchers, studying videos and images of humans to help computers better understand human language.

Average Salary: The national average salary for a Machine Learning Scientist is $133,627 in United States.

Machine Learning Engineer methods for analyzing data and improving the user experience. Data is often collected from users through sensors or software that runs on phones, tablets, and other devices. Once that happens, machine learning algorithms determine ways to personalize app features and the range of ads people see within apps. Machine learning scientists might work in research and development teams to develop new algorithms. Or they might work individually as consultants or independent researchers, studying videos and images of humans to help computers better understand human language.

Average Salary: $128,373 / yr

Applications architects are usually responsible for the overall design and development of a business’ applications that are used by users to carry out their jobs. This includes not only looking at the design of what the applications look like but also how well it works together with other applications that are used in the business, and how it interacts with users to achieve their tasks. Apps architects also work on designing and building components that can help make sure applications can carry out certain tasks. These architects are usually focused on keeping up with the latest technology in an industry they’re working in so they can be a resource for developers and other employees within their organization.

Average Salary: $133,627 / yr

A data architect is a position that’s usually filled by an IT professional with more than ten years of experience. These engineers are tasked with creating data models, business rules, and database structures to create a database that’s scalable and flexible enough to meet the needs of any possible future development. They’re also responsible for researching trends in database programming, and ensuring that all technologies are secure. In addition, they oversee that all business systems are working optimally and can support the development of new technologies and system requirements. A similar job title is Cloud Infrastructure Architect, which oversees a company’s cloud computing strategy.

Average Salary: $114,836 / yr

Business intelligence (BI) developers are business and technology professionals responsible for the development, implementation, and maintenance of business intelligence platforms that facilitate streamlined decision-making. Data analysts, data architects, or project leaders work with BI developers in order to understand their needs and provide them with the tools they require to build powerful visualizations and analytic applications.

Average Salary: $89,957 / yr

Transform and manipulate large data sets to suit the desired analysis for companies. For many companies, this role can also include tracking web analytics and analyzing A/B testing. Data analysts also aid in the decision-making process by preparing reports for organizational leaders which effectively communicate trends and insights gleaned from their analysis. Strategies looking at the big picture are important as data analysts must help their company to understand its strengths and weaknesses while anticipating changes that require them to adjust certain strategies. For example, if a company has been able to use Facebook targeted ads effectively, then a data analyst may suggest placing more of an emphasis on social media marketing instead of investing in online advertisements across other platforms.

Average Salary: $68,091 / yr

Data engineers are responsible for building, maintaining, and enhancing the systems that transform raw data into aggregated information. They create tools and processes that allow multiple departments to access relevant data at the right time from the right place. They work with multiple stakeholders across an organization to organize data flows and perform batch/real-time processing. Data engineers also have a deep understanding of a company’s analytic needs to troubleshoot pipeline failures.

Average Salary: $111,410 / yr

An enterprise architect’s vision and task is to manage and align the evolution of an enterprise’s strategic business objectives with the IT systems required to execute upon them. Enterprise architecture is focused on defining how information technology can help the business to achieve its goals, whereas project architecture or technology architecture focuses on realizing a specific solution that has been committed to.

Average Salary: $114,836 / yr

Statisticians are hired to provide critical analysis and valuable insight into the success of a wide range of businesses. The work of statisticians is extremely diverse, and involves being able to accommodate new information and changing goals. Statisticians study data both in its raw form as well as after experiencing changes through the application of mathematical models and inference tools.

Average Salary: $86,759/ Year

FAQs about Data Science Master’s Programs

Earning a master’s degree in data science can prepare learners for a variety of lucrative career opportunities in the data science field. Graduating students can pursue careers as statisticians, business intelligence analysts, data analysts, big data engineers, database administrators, data architects, and machine learning engineers.

Data scientists are required to hold a master’s degree, although some pursue doctoral degrees in computer and information science. Students should research the different master’s programs in data science to find the program that is best suited to their educational needs and professional goals.

Data science professionals with advanced degrees receive higher salaries and career advancement opportunities. A master’s degree provides specialized training in a particular field, building on a student’s previous knowledge.

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