Top 61 MScs in Data Science 2019

Learn a range of essential marketing skills, including analyzing statistics and interpreting large sets of data, with this program delivered and awarded by Arden University.

All of the content is approved by the Chartered Institute of Marketing (CIM), which means you’ll be studying the most relevant topics – and you can add even more value to your degree by submitting your assessments to the CIM.

Program taught in English in Germany.

This course is relevant for those wanting to strive in today’s data-driven marketing landscape by turning analysis into useful insights and strategic business plans. This course is also appropriate for those wanting to gain an advanced understanding of marketing management and build a successful career in this sector.... [-]

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.

Graduate Entry Requirements... [-]

Thames Education Group’s MSc in Data-driven Management in collaboration with the University of Buckingham focuses on the essential soft and hard skills that will enable you to take your career to the next level. This MSc is ideal for those who possess a bachelor level qualification in business, data science or a related field. The programme starts in February 2019 and a limited number of places are still available at an introductory fee of £8.200.

Bachelor’s degree, preferably in a related field.

Non-native English speakers:

Or equivalent.... [-]

This online MSc in Data Analytics and HRM will provide you with valuable knowledge of how applied data can inform HR decisions that will benefit your business. Our flexible course offers the ability to work alongside your studies and will equip you with a solid understanding of the role of HRM, including how productivity in staff can be analysed in reward management.

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

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.... [-]

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.... [-]

The Big Data technology and services market represents a fast-growing multibillion-dollar worldwide opportunity. A recent International Data Cooperation (IDC) forecast shows that the Big Data technology and services market will grow at a 26.4% compound annual growth rate to $41.5 billion through 2018, or about six times the growth rate of the overall information technology market. Additionally, by 2020 IDC believes that “line of business buyers will help drive analytics beyond its historical sweet spot of relational (performance management) to the double-digit growth rates of real-time intelligence and exploration/discovery of the unstructured worlds”. The value of data science skills, and resulting demand for skilled practitioners, is a well-known challenge within the emerging big data analytics industry.... [-]

The MSc in "Biobanks and Complex Data Management" opens immediate career opportunities in a variety of sectors such as human health, pharmaceutical, and biotechnology industrial laboratories, and agricultural industry.

A Biobank is a biological materials repository that collects, processes, stores, and distributes biospecimens to support a scientific investigation. The main objective of this MSc is to acquire knowledge, experience, and practical skills that will qualify graduates to work in the multidisciplinary field of biobanking (humans, animals, plants, and other living organisms) and complex data management.... [-]

Our networked world is drowning in data, affecting the way business, government, science, and healthcare are conducted. The NYIT Data Science, M.S. is designed to help professionals and researchers sort through this data tsunami, by providing a fundamental understanding of the methods and algorithms of data science.

By the end of our 30-credit program, graduates will have the skills and knowledge to transform data into relevant insights for making better business decisions by:

This MSc program is aimed at future experts in the design of high-performance support systems for data mining, knowledge extraction, and decision aiding.

This Masters program also offers a gateway to Ph.D. studies.

The Master of Science in IT - specialization in Data Science lasts 2 years referred to as M1 and M2. Both M1 and M2 are organized on our Brest campus. This master is accredited by the French Ministry of Higher Education and Research and fully complies with the EHEA system.

In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical “data mining” methods, one can detect tendencies, hidden patterns, and knowledge nuggets, and use them to make strategic decisions. This process is of crucial importance in all sectors of activity, and in particular for business, science, politics, security, healthcare, etc.... [-]

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.... [-]

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.... [-]

With the growth of the digital age businesses and organizations have had access to unprecedented amounts of data. In order to turn this data into a competitive advantage, businesses must develop effective methods to analyze and interpret vast amounts of information.Part business management and part data science, Data Analytics and Business Statistics is the key to developing methods that unlock the predictive potential of data.

Data Analytics and Business Statistics play an integral role in determining an organization’s overall strategic direction, and demand for this crucial set of skills is growing globally. The McKinsey Global Institute expects that demand for business people with deep analytical skills could outstrip current projections of supply by 50% to 60%.Graduated students can expect to play a greater role in decision making and strategy setting for their current or future organizations, adding significant value: studies show that businesses that understand how to interpret data outperform competitors by up to 20%.New England College’s MS in Data Analytics and Business Statistics will provide students with frameworks for critically looking at data, interpreting and visualizing data, and applying that knowledge in real-world applications that will shape how 21st-century business challenges are addressed.... [-]

Asian Institute of Management (AIM) is the Asian pioneer in management education and an international graduate school with a vision to inspire and support a uniquely Asian approach to business and societal management that respects the social and financial impact of its decisions and actions.

AIM is the first school in Southeast Asia to receive accreditation from the US-based Association to Advance Collegiate Schools of Business (AACSB), globally recognized as having the world's highest standards.

In line with AIM's vision to develop managers, entrepreneurs, and leaders who can deliver meaningful and sustainable growth in Asian businesses and societies, the School of Innovation, Technology, and Entrepreneurship or SITE is envisioned to be the hub in Asia for nurturing future-ready leaders who are comfortable with uncertainty and confident and competent in handling issues in a rapidly changing environment. ... [-]

Data scientists are going to be among the most demanded specialists in the hi-tech market. The purpose of our program is to meet this demand and to equip the most talented young scientists with a high-level knowledge of machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modeling and other important areas of modern data science.

The MSc program is 2 years long: the first year is to strengthen your theoretical background, and the second year is to focus on research. Students have the freedom to choose courses and extracurricular activities to shape their individual trajectory, acquire soft skills, and gain entrepreneurial skills to prepare for job placement.... [-]