Program Introduction
The MS (DS) program has been designed to give students the option to be part of a data science endeavor that begins with the identification of business processes, determination of data provenance and data ownership, understanding the ecosystem of the business decisions, skill sets and tools that shape the data, making data amenable to analytics, identifying sub-problems, recognizing the technology matrix required for problem resolution, creating incrementally-complex data-driven models and then maintaining them to ultimately leverage them for business growth.
Program Objectives
The program in computing & data science has been designed to produce a stream of future data scientists and professionals with the following objectives:
- To equip students to transform data into actionable insights to make complex business decisions.
- To enable students, understand and analyse a problem and arrive at computable solutions.
- To expose students to the set of technologies that match those solutions.
- To gain hands-on experience on data-centric tools for statistical analysis, visualization and big data applications at the same rigorous scale as in a practical data science project.
- To understand the implications of handling data in terms of data security and business ethics.
Career Opportunities
MS degree program in Software Engineering at UMT provide students with the comprehensive skills and knowledge they need to pursue the best career option in one of the most dynamic areas of modern technology. The programs prepare students with a broad scientific knowledge, an aptitude in a variety of mathematical techniques and the ability to synthesize. The exponential growth of technology and computing over the last decade has led to a growing demand for professionals in the field. Data has swept into every industry and business function and is now one of the most important factors of success, alongside labor and capital. This enormous growth of data has resulted in a high demand for data scientists world-wide. Career options include data scientist, data engineer, data analyst, statistician, data manager, data architect, business analyst.
Learning Outcomes
A graduate with a M.S. in Computing & Data Science will have the ability to
- Develop relevant programming abilities.
- Demonstrate proficiency with statistical analysis of data.
- Develop the ability to build and assess data-based models.
- Execute statistical analyses with professional statistical software.
- Demonstrate skill in data management.
- Apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively