Courses Offered
Bachelor of Science (Honours) in Statistics and Data Science
M.Sc. in Statistics with following specializations:
- Industrial Statistics
- Business Analytics
- Biostatistics
B.Sc (Hons). Programme and It’s Outcome
The four-year Honours program prepares graduates to acquire, manage, and interpret data, enabling them to drive meaningful change worldwide. St. Xavier’s University, Kolkata (SXUK) aims to encourage dissemination of knowledge through innovative teaching pedagogy and creation of knowledge through quality research in Statistical Sciences. The objective of the four-year B.Sc. (Hons.) program in Statistics and Data Science, as per NEP 2020, is to impart an in-depth knowledge of Mathematical and Applied Statistics along with the modern-day tools and techniques of Data Science. The learning opportunities are immense and diverse, from mathematical analysis to deep learning, from solid theoretical background to cutting-edge data-analytic technologies. This program on Statistics and Data Science will enable students to go for research, take up Statistician/ Data Scientist’s roles in today’s demanding market and to create job opportunities through innovation in this era of information.
The student learning outcomes of the B.Sc. (Hons.) program in Statistics and Data Science are:
- Understanding of theoretical foundations of Statistics and Data Science.
- Understanding of Statistical computation.
- Ability to build models to efficiently solve modern scientific and business problems.
- Ability to self-learn and engage in life-long learning.
- Ability to get into the industry for challenging statistician/data scientist/ data analyst roles.
- Ability to undertake small consultancy and research projects.
- Ability to innovate and create job opportunities.
- Applying knowledge and skills for the betterment of society.
Educational Objectives of M.Sc. Programme
PEO1. To introduce students to the meaning, concepts and scope of the basic Statistical and Mathematical tools applicable for decision-making.
PEO2. To familiarize students with the different tools and techniques used for collecting, handling, and managing and interpreting data.
PEO3. To make the students acquainted with methods of data analysis and interpretation with focus on statistical tools.
PEO4. To enable students to perform data visualization and analysis using modern statistical software packages such as Python, SPSS, R etc.
PEO5. To enable students to get familiarized with different techniques of data driven statistical inference.
PEO6. To encourage students towards various types of research and methodologies of conducting research.
M.Sc. Programme Outcomes
PO 1: Understanding the basic Statistical and Mathematical tools applicable for decision-making.
PO 2: Designing questionnaires or perform other survey methods to collect data from primary sources supporting independent research initiatives.
PO 3: Applying advanced quantitative and statistical tools envisaged in the course in collecting, analyzing and interpreting data.
PO 4: Using statistical software packages in the process of generation of graphs, charts, and other forms of data visualization, data analysis and data interpretation.
PO 5: Enabling to independently solve real life problems.
PO 6: Assisting the policy makers in framing plans on different aspects of national development.
PO 7: Understanding and predicting the movement different data series related to industry, business and healthcare.