MSc Programs in Data Science

Compare 35 MScs in Data Science

A master’s degree is a path of higher education often pursued after an undergraduate degree. A Master of Science typically focuses on fields related to mathematics and sciences, but some universities could award this degree for something related to arts or humanities. A graduate program often takes one to three years to complete.

What is an MSc in Data Science? Data science is the study of scientific methods and systems used to extract information from both structured and unstructured groups of data. Throughout an MSc program, students often learn how to apply information technologies to business administration. The exact courses required for this degree can vary by institution. Your specific focus can also affect the courses you need to take. Common courses for this degree include big data algorithms, techniques and platforms, strategic business analytics, big data analytics, continuous and discrete optimization, and machine learning.

An MSc is beneficial because it can lead to a higher salary, more education or better job prospects. Often, the organizational skills gained make students better candidates for promotions.

It is hard to pinpoint the cost of an MSc in Data Science because the location of a school, duration of a program and type of classwork can all play a role in the cost. If you want to get an exact estimate, it is best to contact the university you hope to attend.

With the knowledge gained from earning an MSc in Data Science, you might be prepared for a career as a high-ranking data scientist. However, this is not your only career option. Some scholars with this education have gone on to become professors, small business owners and government officials. Information technology is a growing field that needs people who know how to decode large piles of data.

Do some research to find out which program is right for you. Once you know, it is time to apply. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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MSc in Big Data Science and Technology

University of Bradford
Campus Full time 1 year September 2018 United Kingdom Bradford

This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration. [+]

Develop the skills you need for a career in this fast emerging field of data science.

This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.

It is an interdisciplinary programme, designed for students with a first degree in subjects such as:

Computer Science Electrical Engineering Mathematics Physics Economics

Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.... [-]


M.S. Data Analytics

Webster University
Campus Full time 18 - 24 months August 2018 USA St. Louis

Data Analytics is the science of interpreting vast amounts of complex data to make sound decisions. The MS in Data Analytics focuses on developing and applying data analytics skills to fulfill significant needs in the business community. [+]

M.S. Data Analytics

Data Analytics is the science of interpreting vast amounts of complex data to make sound decisions. The MS in Data Analytics focuses on developing and applying data analytics skills to fulfill significant needs in the business community. Students will integrate business concepts as well as key methods and tools for large-size data modeling, analysis and solving challenging problems involving "Big Data". The program provides a strong foundation in data analytics by bringing together salient techniques from statistics, mathematics, computer science, business, accounting, finance and management in a realistic business contact.

Course Requirements Signed Application Form Proof of English Proficiency: TOEFL: PBT 550 | iBT 80 IELTS: 6.5 Pearson: 53 Undergraduate Transcripts Essay: 300-500 word essay on a topic of your choice OR Curriculum Vitae (CV) One Letter of Recommendation Certificate of Finance showing $Tuition plus $16,000 Copy of Passport ID Page Official University/College Transcripts (for Transfer Students) Some programs have additional entry requirements. Please contact your advisor for more information. [-]

MSc Data Science (with Placement Year)

University of Bath
Campus Full time 2 years September 2018 United Kingdom Claverton Down

Data science drives a significant proportion of global economic activity and is influencing scientific progress across numerous fields. This course provides you with the tools to become an industry expert with a strong mathematical foundation. You will gain an understanding of the balanced combination of science and technology required for delivering effective data science. [+]

Gain a solid grounding in the theory and practice of data science. You’ll develop specialist knowledge in statistics, machine learning and software technology.

Data science drives a significant proportion of global economic activity and is influencing scientific progress across numerous fields. This course provides you with the tools to become an industry expert with a strong mathematical foundation. You will gain an understanding of the balanced combination of science and technology required for delivering effective data science.

You’ll learn strong statistical foundations of universal relevance and develop specialist knowledge of probabilistic machine learning techniques. You will gain expertise in the software technologies that are central to putting this knowledge into practice, addressing the challenges of small and large datasets.... [-]


Master of Science in Data Science and Economics

University of Milan
Campus Full time 2 years October 2018 Italy Milan

The Master of Science in “Data Science and Economics” (DSE) responds to the training needs of data scientists in the economic field. The course provides skills to analyze and understand the nature of data through modern data management techniques, machine learning, data mining and cloud computing. Students will learn to extract meaningful relationships and recurring patterns, build predictive and nowcasting models that integrate company, market, administrative and social media data, perform analysis of policy effects (economic, social) or actions (investments, marketing campaigns) and any other activity related to the sectors of economy, marketing, business and finance. [+]

Course Objectives and Structure

The Master of Science in “Data Science and Economics” (DSE) responds to the training needs of data scientists in the economic field. The course provides skills to analyze and understand the nature of data through modern data management techniques, machine learning, data mining and cloud computing. Students will learn to extract meaningful relationships and recurring patterns, build predictive and nowcasting models that integrate company, market, administrative and social media data, perform analysis of policy effects (economic, social) or actions (investments, marketing campaigns) and any other activity related to the sectors of economy, marketing, business and finance.... [-]


Master of Science in Information Technology (Business Intelligence and Data Analytics) 21-Month Track

Carnegie Mellon University in Australia
Campus Full time 21 months January 2019 Australia Adelaide

The MSIT-BIDA program combines a comprehensive information technology and management curriculum with BIDA courses, a compulsory 400 hours of internship and an industry-based Data Analytics Capstone Project. [+]

Master of Science in Information Technology - Business Intelligence and Data Analytics (MSIT - BIDA)

Carnegie Mellon University in Australia

The MSIT-BIDA program combines a comprehensive information technology and management curriculum with BIDA courses, a compulsory 400 hours of internship and an industry-based Data Analytics Capstone Project.

MSIT-BIDA is tailored for students seeking to develop cutting-edge skills in IT Management and data analytics. As analytics professionals and data scientists, intelligent in their application of technology, graduates can provide value for organizations by understanding how technology interacts with business processes, strategy, and policy. These desirable skills, coupled with advanced knowledge in business intelligence and “big data” technologies make graduates highly sought after individuals.... [-]


Master of Science in Applied Data Science

Syracuse University - iSchool
Online Campus Full time Part time 2 years September 2018 USA Syracuse + 2 more

The MS in Applied Data Science prepares students with the practical analytical and technical skills to apply analytical concepts to gain insight from small and large datasets. The curriculum offers an innovative blend of information science and management principles. While the overall program focuses on applications of data science to enterprise operations and processes, individual courses tackle data handling issues such as data capture, management, analysis, and communication for decision-making. [+]

The MS in Applied Data Science prepares students with the practical analytical and technical skills to apply analytical concepts to gain insight from small and large datasets. The curriculum offers an innovative blend of information science and management principles. While the overall program focuses on applications of data science to enterprise operations and processes, individual courses tackle data handling issues such as data capture, management, analysis, and communication for decision-making.

Ranked as Glassdoor’s No. 1 best job of 2016 and 2017, data scientists are critical to the success of any organization. As the data science field evolves, the demand for analytics skills continues to grow. Employers are actively seeking candidates with the advanced technical expertise to make data-driven decisions.... [-]


MS in Data Analytics

College of Saint Elizabeth
Campus Part time 12 - 15 months September 2018 USA Morristown

The Master of Science in Data Analytics Program at CSE will prepare graduates with the knowledge and skill set necessary to become analytics and data science professionals. The program will explore the intricacies of data analytics and expose students to various topics related to data collection, manipulation, processing, analysis, and visualization. [+]

Data Analytics is an exciting area that has gained a lot of attention. The U.S. Department of Labor's Bureau of Labor Statistics (BLS) reports that jobs in data analytics are one of the fastest growing in the United States. According to a report by the McKinsey Global Institute, by 2018 the US is expected to have a shortfall of 140,000-190,000 people with data analysis skills. Our new M.S. program is developed to meet the need in NJ and the tri-state area.

The Master of Science in Data Analytics Program at CSE will prepare graduates with the knowledge and skill set necessary to become analytics and data science professionals. The program will explore the intricacies of data analytics and expose students to various topics related to data collection, manipulation, processing, analysis, and visualization. Along with probability theory and statistical analysis methods and computing tools, students will learn how to solve crucial data-driven problems and assist with analytics-driven decision making that are needed in the workforce as the progression of big data jobs continues to grow. Our program emphasizes not only on data analytics theories but also data analytics skills and techniques with both a mathematics and computer science focus.... [-]


Master of Science in Business Analytics Online Program (MSBA)

Wake Forest University Online
Online Part time 24 months September 2018 USA USA Online

The Master of Science in Business Analytics degree (MSBA) at the Wake Forest University School of Business, designed to develop the leaders of tomorrow, is now offered online for working professionals. Designed for working professional students with two or more years of post-graduate, professional work experience, the curriculum of the MSBA program delivered online will prepare students to identify business challenges that can be solved using data, leverage data to find solutions to business challenges, and influence their organizations by telling the story of how insightful analysis will solve challenges. [+]

The Master of Science in Business Analytics degree (MSBA) at the Wake Forest University School of Business, designed to develop the leaders of tomorrow, is now offered online for working professionals.

Business Analytics opportunities are numerous as major organizations adopt data-driven, technology-focused strategies across nearly every industry. In the MSBA program, you will learn advanced methodologies to apply analytics to business challenges across a range of functions throughout the organization.

Designed for working professional students with two or more years of post-graduate, professional work experience, the curriculum of the MSBA program delivered online will prepare students to identify business challenges that can be solved using data, leverage data to find solutions to business challenges, and influence their organizations by telling the story of how insightful analysis will solve challenges.... [-]


MSc in Data Science

Tufts University - School of Engineering
Campus Full time 9 - 12 months September 2018 USA Medford

The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering. [+]

The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering.

The M.S. in Data Science is a program that may be completed in as little as 9 or 12 months of study. Prerequisites for the M.S. in Data Science include a bachelor’s degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor’s degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program. The courses in the certificate, upon successful completion with a grade of B- or better and admission to the M.S. in Data Science, may be transferred to apply to the M.S. in Data Science program.... [-]


MS in Data Science

Lewis University
Online Campus Full time Part time 2 years September 2018 USA USA Online Romeoville Albuquerque Oak Brook Tinley Park + 6 more

Learn how to design algorithms to uncover the secrets hiding in big data. More and more industries are looking for knowledgeable individuals who can mine tremendous amounts of data to glean powerful and profitable business intelligence. [+]

Data Science, M.S.

Learn how to design algorithms to uncover the secrets hiding in big data. More and more industries are looking for knowledgeable individuals who can mine tremendous amounts of data to glean powerful and profitable business intelligence.

How can you help companies utilize these same data mining and predictive analyses to optimize organizational processes? Lewis' supportive educational community and state-of-the-art Science Center offer the perfect preparation for success as a Data Scientist through an interdisciplinary curriculum in which you will:

Design and develop software and systems to store, manage, query, process and interpret big data Devise algorithms to identify reasonable trends buried in large data sets Determine how best to display data to communicate actionable recommendations Develop an in-depth understanding of the mathematics and computing of data science techniques and technologies Use real-time and historical data to solve real-world business problems Learn how to evaluate and compare large-scale and cloud-based data storage solutions that meet specific performance, security, query, functional and cost requirements Choose appropriate data mining and analysis techniques to solve specific problems Conclude your graduate experience by researching and writing your thesis capstone, applying data mining and analytics to your specific industry ... [-]

MSc Data Analytics and Enterprise Architecture

Arden University
Online Full time Part time 18 - 60 months January 2019 United Kingdom Coventry + 1 more

The rapidly changing technological environment means that getting ahead of changes and developments is essential – especially for those working in the IT environment. [+]

The rapidly changing technological environment means that getting ahead of changes and developments is essential – especially for those working in the IT environment.

Our online MSc in Data Analytics and Enterprise Architecture will provide you with an understanding of how to identify and design appropriate methods of gathering data in the complex modern computing systems of today and how to draw insights from this, and present data to inform decision making.

Course Requirements

A bachelor's degree or diploma equivalent to a UK honours degree at a minimum of second class (2.2). If you are not an English native speaker, you will be required to provide us with a proof of English language level equivalent to IELTS 6.5 or above... [-]


Master of Science in Data Engineering and Machine Learning

Tampere University of Technology
Campus Full time 2 years August 2018 Finland Tampere

Data engineering tickles your curiosity: every day is an adventure in a jungle of new data challenges. Data-driven systems are at the center of modern computer engineering and hold many promises for the future. Data engineering is needed for solving challenging pattern recognition problems, such as intelligent search engines, self-driving cars, autonomous robots, or automatic car number plate recognition systems. [+]

Data engineering tickles your curiosity: every day is an adventure in a jungle of new data challenges. Data-driven systems are at the center of modern computer engineering and hold many promises for the future. Data engineering is needed for solving challenging pattern recognition problems, such as intelligent search engines, self-driving cars, autonomous robots, or automatic car number plate recognition systems.

Studies

The Data Engineering and Machine Learning studies combine machine learning techniques with efficient implementation skills. The courses combine theory and practice.

In addition to the mathematics of machine learning, real-life deployment skills require an understanding of databases, programming languages, and even hardware design; all aiming at the efficient handling of huge data masses.... [-]


M.Sc. Data Analytics and Decision Science

RWTH Business School / RWTH Aachen University
Campus Full time 4 semesters October 2018 Germany Stolberg (Rhineland)

This exciting new master course is designed at the intersection of the fields of Data Science and Decision Science (Operations Research) and graduates will learn how to combine machine learning and deep learning techniques with mathematical optimization approaches, heuristic algorithms and simulation techniques to create value in specific application areas. The QS ranking reflects the excellence of the Operations Research area at RWTH Aachen which is ranked as number 1 university for this subject in Germany in 2017. [+]

Our world and businesses in particular face disruptive change due to exponential growth of both the amount of data which can be captured from a wide range of data-sources and the computational capabilities to process the data. Future experts and managers will need to understand how to leverage Data Analytics and Decision Science to create value from data - this is what you will learn in this Master Program.

This exciting new master course is designed at the intersection of the fields of Data Analytics and Decision Science (Operations Research) and graduates will learn how to combine machine learning and deep learning techniques with mathematical optimization approaches, heuristic algorithms and simulation techniques to create value in specific application areas. RWTH Aachen is ranked number one in the field of Statistics & Operational Research in Germany by the QS World University Ranking 2017.... [-]


Master in Computational and Data Sciences

Chapman University
Campus Full time Part time September 2018 USA Orange

The Master of Science in Computational and Data Sciences is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics, and computing. [+]

As the challenges we face—environmental, biological, chemical, geophysical—continue to grow and generate massive amounts of data, it’s computational and data sciences that will help us meet those issues head-on. The Master of Science in Computational and Data Sciences is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics, and computing.

Through modeling, simulation, data mining, and study of specific phenomena via computer analysis and engineering, you will learn to apply extraordinary technology and processes to answer the world’s most complex questions as part of your Computational and Data Science degree. Whereas computer science involves the pursuit of new frontiers chiefly within the realm of computer software and hardware, computational science practitioners apply the knowledge and power of computing to other science disciplines, whether it be running a costly physics experiment through a computer simulation to save millions, or creating new software that can sift through raw data with a far more strategic and sophisticated eye.... [-]


MSc in Accounting (Data and Analytics)

Singapore Management University
Campus Full time Part time 14 - 24 months August 2018 Singapore

The MSA program is the first specialized Master’s degree in accounting data and analytics in Asia. Unlike any other postgraduate analytics program, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain. [+]

MSc in Accounting (Data and Analytics)

The MSA program is the first specialized Master’s degree in accounting data and analytics in Asia. Unlike any other postgraduate analytics program, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain.

The program is designed for professionals who are interested in developing expertise in applying data technology into their domain knowledge to solve business problems, especially in the finance and accounting sectors. The availability of massive amounts of data has created a high demand for skilled data analytics professionals who can analyze such data and obtain the insight needed for decision-making. This is extremely vital to accounting and financial services firms, as they have been dealing with a large amount of information produced by their clients. In the MSA, you will learn how to analyze large amounts of data and uncover patterns and insights that will give your firm a valuable competitive advantage.... [-]