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.

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

A successful graduate of the program will know:

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.... [-]

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:

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 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.... [-]

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.... [-]

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.... [-]

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.... [-]

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.... [-]

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.... [-]

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.

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.... [-]

This 6-month of classes and 6-month internship Applied MSc programme, with its two entries in Autumn and Spring, is designed to open your career to these Big Data Engineering jobs all industries are looking for.

On a full-time basis (5 hours/day) along with “Engineering Projects” (see below) and followed by a 6-month work placement.

In this Applied MSc programme, you will:

Administered jointly through theDepartment of Computer Science and theDepartment of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

Through courses led by top faculty members at the School of Engineering & Applied Science and theSchool of Business, this program is conducted in small cohorts and covers topics in computer science, business analytics, and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.

Students choose from two tracks: Computer Science or Engineering Management & Systems Engineering.Download the brochure (PDF)to learn the difference.... [-]