|
|
|
|
|
|
| |
| Assesment Pattern | |
CIA - 50% ESE - 50% | |
| Examination And Assesments | |
Evaluation pattern for full CIA courses:
The “Theory and Practical” Type of courses offered in all UG/PG programmes will be considered as Full CIA courses.
For this type of courses, there is no exclusive Mid Semester Examination and End Semester Examination; instead there shall be a continuous evaluation during the semester as,
CAC – Continuous Assessment Component Assessment components such as Hard copy / Soft copy Assignment, Quiz, Presentation, Video Making, MOOC, Project, Demonstration, Service Learning, etc CAT – Continuous Assessment Test A written / Lab test would be conducted on any working day
The total marks for the full CIA courses would vary based on the number of hours allocated in a week for the respective course. Out of the maximum marks allotted to the respective course, 50% marks will be considered as CIA and remaining 50% as ESE based on the combinations of the evaluation components (CAC and CAT) . | |
| Department Overview: | |
The Department of Statistics and Data Science, established in the year 2022, strives to provide a dynamic research environment and effective education, including excellent training in scientific data collection, data management, methods and procedures of data analysis. Our, curriculum adheres to worldwide standards to provide the best possible research and educational/Industry opportunities. It offers a perfect blend of statistical knowledge with tools and data science techniques required to explode, analyze and interpret the complex data of the modern world. The curriculum and teaching pedagogy foster higher-order thinking and research skills, which equip students for the dynamic and ever-evolving data industry. Well-designed co-curricular activities organized by the department are aimed at the holistic development of students. The skills imparted through various programs offered by the department help in interdisciplinary research for the benefit of the society.
| |
| Mission Statement: | |
Vision: ExcellenceandService Mission: Todevelopstatisticsanddatascienceprofessionalscapableofenrichingsustainableandprogressivesocietyforachievingcommonnationalgoals. | |
| Introduction to Program: | |
Data Science is popular in all academia, business sectors, and research and development to makeeffective decision in day to day activities. MSc in Data Science is a two year programme with six trimesters. This programme aims to provideopportunity to all candidates to master the skill setsspecific to data science with research bent. The curriculum supports the students to obtain adequateknowledge in theory of data science with hands on experience in relevant domains and tools. Candidategains exposure to research models and industry standard applications in data science through guestlectures,seminars,projects,internships,etc. | |
| Program Objective: | |