M.Sc. Data Science and Statistics

The M.Sc. Data Science and Statistics program prepares students for a range of exciting careers in various industries, including finance, healthcare, retail, and e-commerce. Here are a few job roles for M.Sc. Data Science and Statistics graduates are:

• Data Scientist: Data scientists use machine learning algorithms and statistical techniques to extract insights from large datasets and solve complex problems.
• Statistician: Statisticians collect, analyze, and interpret data to solve problems in various fields, including healthcare, finance, and social sciences.
• Data Analyst: Data analysts use statistical and analytical methods to collect and interpret large datasets to identify patterns, trends, and insights that can help businesses make informed decisions.
• Data Engineer: Data engineers are responsible for designing and maintaining the infrastructure required to store and process large datasets.
• Quantitative Analyst: Quantitative analysts use mathematical and statistical models to identify and evaluate investment opportunities in finance and other fields.
• Market Research Analyst: Market research analysts collect and analyze data on consumer behaviour, market trends, and industry developments to help businesses make informed decisions about their products and services.
• Predictive Modeler: Predictive modelers develop statistical models to forecast future events or trends in various industries, such as finance, healthcare, and marketing.

Practical Approach: The program has a practical approach, which includes a combination of classroom lectures, case studies, projects, and internships to provide students with hands-on experience in real-life situations.

• Experienced Faculty: The faculty members are experts in their respective fields with rich industry and research experience, which helps students to stay updated with the latest trends and technologies.
• Industry Collaborations: The university has collaborations with various industries and organizations to provide students with industry exposure and internships to enhance their practical knowledge.
• Research Opportunities: The program encourages students to undertake research projects in the field of data science and statistics and provides them with opportunities to publish research papers in reputed journals.
• Advanced Curriculum:
  • The M.Sc. Data Science and Statistics program is a two-year postgraduate program that covers a wide range of topics related to data science and statistics. The program provides theoretical and practical knowledge to the students.
  • The curriculum includes core courses, elective courses, and a dissertation. The core courses cover foundational topics such as statistical methods, probability theory, linear algebra, and programming languages like Python and R. These courses provide students with a strong foundation in statistics and programming, which are essential skills for a data scientist.
  • The elective courses offer students the opportunity to specialize in specific areas of data science and statistics such as machine learning, data mining, big data analytics, data visualization, and more.
  • The dissertation is an integral part of the program, and students are required to work on a research project under the guidance of a faculty member. The dissertation provides students with an opportunity to apply their theoretical knowledge to solve real-world problems and helps them develop research and analytical skills.