- Faculty
School of Social Sciences
- Department
Department of Data Sciences And Analytics
- Campus
Gnanagangothri Campus
- Engagement Mode
Full Time
- Study
4
Overview
The B.Sc(Hons) Data Sciences and Analytics program enables students to engage in the domains of data mining, analysis, and predictive modelling. The programme’s curriculum has more of application-oriented learning and the curriculum mainly stresses on the mastery of basic mathematics, statistics, and computer science. The emphasis of the programme is to expose students to advanced concepts, developments, and techniques in the realm of data analytics.
The B.Sc(Hons) Data Sciences and Analytics Program is developed by the members of the faculty based on interactions with various universities, financial institutions, and industries. The curriculum is outcome based and it imbibes required theoretical concepts and practical skills in the domain. By undergoing this programme, students develop application-oriented learning skills, critical, analytical thinking, and problem-solving abilities for a smooth transition from academic to real-life work environment. Students are trained in communication skills and interdisciplinary topics to enhance their scope.
Program Objectives
- To disseminate knowledge and skills through instructions, teaching, training, seminars, workshops and symposia in Engineering and Technology, Art and Design, Management and Commerce, Health and Allied Sciences, Physical and Life Sciences, Arts, Humanities and Social Sciences to equip students and scholars to meet the needs of industries, business and society
- To generate knowledge through research in Engineering and Technology, Art and Design, Management and Commerce, Health and Allied Sciences, Physical and Life Sciences, Arts, Humanities and Social Sciences to meet the challenges that arise in industry, business and society
- To promote health, human well-being and provide holistic healthcare
- To provide technical and scientific solutions to real life problems posed by industry, business and society in Engineering and Technology, Art and Design, Management and Commerce, Health and Allied Sciences, Physical and Life Sciences, Arts, Humanities and Social Sciences
- To instill the spirit of entrepreneurship in our youth to help create more career opportunities in the society by incubating and nurturing technology product ideas and supporting technology backed business
- To identify and nurture leadership skills in students and help in the development of our future leaders to enrich the society we live in
- To develop partnership with universities, industries, businesses, research establishments, NGOs, international organizations, governmental organizations in India and abroad to enrich the experiences of faculties and students through research and developmental programmes
Curriculum Details
| Compulsory Foundation Course 1 (CFC 1) | 4 |
|---|---|
| Compulsory Foundation Course 1 (CFC 2) | 4 |
| Linear Algebra (CC) | 5 |
| Programming in R Lab (CC) | 5 |
| Data Visualization (CC) | 5 |
| Ability Enhancement Course 1 | 3 |
| TOTAL | 26 |
| Course | Credits |
|---|---|
| Compulsory Foundation Course 3 (CFF 3) | 4 |
| Compulsory Foundation Course 4 (CFF 4) | 4 |
| Inferential Statistics (CC) | 5 |
| Regression Techniques and Time Series Analysis (CC) | 5 |
| Python Programming Lab (CC) | 5 |
| Generic Elective 1 | 3 |
| Skill Enhancement Course – 1 (SEC-1) | 2 |
| TOTAL | 28 |
| Course | Credits |
|---|---|
| Multivariate Analysis (CC) | 5 |
| Database Management Systems (CC) | 5 |
| Data Pre-processing (CC) | 5 |
| Generic Elective 2 | 3 |
| Ability Enhancement Course 1 | 3 |
| Course | Credits |
|---|---|
| Operations Research & Optimisation Techniques ion Techniques (CC) | 5 |
| Data Warehousing & Mining (CC) | 5 |
| Artificial Intelligence (CC) | 5 |
| Generic Elective-3 | 3 |
| Skill Enhancement Course – 2 (SEC-2) | 2 |
| TOTAL | 20 |
| Course | Credits |
|---|---|
| Machine Learning (CC) | 5 |
| Big Data (CC) | 5 |
| Basic Econometrics(DSE)( Track 1) | 4 |
| Advanced Time series and Regression techniques (DSE) (Track 2) | 4 |
| Open Elective-1 (SSS) | 3 |
| TOTAL | 17 |
| Course | Credits |
|---|---|
| Dissertation/Project (CC) | 6 |
| Deep Learning (DSE) (Track 1) | 4 |
| Supply chain management(DSE)(Track 2) | 4 |
| Open Elective-2 (SSS) | 3 |
| TOTAL | 13 |
| Course | Credits |
|---|---|
| Cloud Computing (DSE) | 4 |
| Advanced Statistics (DSE) | 4 |
| Natural language Processing(DSE) (Track 1) | 4 |
| Applied Econometrics (DSE) (Track 2) | 4 |
| Applications in Economics (DSE) (Tack 2) | 4 |
| Consumer Behavior (DSE) (Tack 2) | 4 |
| Open Elective-3 (SSS) | 3 |
| TOTAL | 15 |
| Course | Credits |
|---|---|
| Capstone/project/ Internship | 20 |
Eligibility Criteria
Indian national candidates must have passed 10+2 from a recognized state or central board with a minimum of 50 per cent in their qualifying exam.
Foreign students seeking admission under University quota should have:
i. Equivalent qualification approved by the Association of Indian Universities.
ii. Proof of proficiency in English.
Structure
| Course | Fee |
|---|---|
| B.Sc. (Hon.) Data Sciences and Analytics | 1, 75, 000 |
Intake
The intake capacity for one academic year is 60.
Career Path
Pave Your Way to a Data-driven Career
- Data Scientist
- Business Intelligence Analyst
- Data Analyst
- Applications Architect
- Machine Learning Engineer
- Market Research Analyst
- Database Administrator
FAQs
Data science and data analytics are in high demand across various industries such as finance, healthcare, retail, and technology. Some job roles include data analyst, data scientist, business intelligence analyst, data engineer, and machine learning engineer.
Students of all backgrounds can take up the data science and data analytics course. However, a basic knowledge of mathematics at the Class 12 level is required.
Yes, the university has a foundation course where everything related to mathematics and statistics related to data science and data analytics is taught. This course will provide a solid grounding in the subject for students of all levels
Unfortunately, there are no residential complexes available for outstation students who are interested in the School of Social Science. However, there are plenty of PG options available around the campus. Students can reach out to the student affairs department for assistance.
Yes, there are scholarships available for economically weaker section students who want to pursue data science and data analytics. Students can contact the university's financial aid office for more information on scholarship opportunities.
The School of Social Science is highly interdisciplinary, with five departments offering a range of subjects. Students have the flexibility to choose any subjects from these departments to create their own unique program of study. The 5 domains are the Economics, Public Policy, Sociology, Psycology and Datascience and analytics.
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