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.... [-]

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.

Arden is a specialist distance learning university that has helped 50,000 students around the world succeed over the last 26 years. In 2015, 79% of Arden students said that their studies contributed to improving their career.

Program taught in English in Germany. Flexible payment plans available.... [-]

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.... [-]

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.... [-]

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:

This programme is for students who have a numerate first degree or can demonstrate numerate skills. Students are often at the early stages of their careers in diverse professions including economics, statistics and computer science.

Students will have a curiosity about data, and will want to learn new techniques to boost their career and be part of exciting current industry developments. The MSc in Data Science includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or statistics background and enjoy working with algorithms.

The demand for data scientists in the UK has grown more than ten-fold in the past five years *. The amount of data in the world is growing exponentially. From analysing tyre performance to detecting problem gamblers, wherever data exists, there are opportunities to apply it.... [-]

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.... [-]

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.... [-]

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 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.... [-]

In a world driven by increasingly vast and complex data, employees are needed to decipher that data quickly and efficiently to help companies make more-informed business decisions and identify new opportunities for competitive advantage.

Uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information in JWU's Master of Science degree in Data Analytics.

You'll apply statistical models and tools to solve real-world problems. Gain skills in data mining, analytics, management and visualization, forecasting, modeling, and optimization and simulation to prepare you for the technical and business challenges posed by big data.... [-]

Big Data is going to be worth $102bn by 2019 according to IDC research which means organizations will need skilled analysts to maximize the opportunities it has to offer. This MSc Data Analytics and Finance will help you develop the core skills and competencies in the area of applied data analytics that you can apply within a financial management environment. You will become proficient in analyzing complex data and will develop an understanding of corporate financial reporting. You’ll study in Germany, the most popular option for international students looking to study in Europe. Germany is recognized for its high-quality education (According to statistics and data from ICEF monitor).... [-]

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.... [-]

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. ... [-]

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 visualization and exploration.

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

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.... [-]