B.Sc. (Hons./Hons. with Research) Data Science & Analytics
Programme Code: SBR0308 | Level: Graduate | Duration: 4 | Dept: Mathematics & Data Science
Overview
This is an advanced undergraduate programme that offers a rigorous and research-oriented education in the field of data science. Combining a strong foundation in mathematics, statistics, and computer science with in-depth training in data analytics, machine learning, programming, and big data technologies, the programme prepares students to tackle complex data-driven challenges. It emphasizes both theoretical understanding and practical skills, with opportunities for research projects, internships, and exposure to real-world applications. The honours with research track further allows students to engage in guided research, fostering critical thinking and innovation, and preparing them for higher studies or research-intensive careers in data science, artificial intelligence, and related domains.
Programmes & Details
Programme Educational Objectives (PEO’s)
- PEO1: Prepare professionals conversant with current and advanced technological tools to carry out Investigation, analysis and synthesis by identifying various compute-oriented solutions.
- PEO2: To develop positive attitude and skills which enable them to become a multi facet personality.
- PEO3: To prepare students in such a way so that they perform excellently in national lavel entrance examinations conducted by various well-known institution like IIT’s/ central Universities/other academic institutes etc. to pursue their PG/MS/Dual PG and Ph.D. programs.
- PEO4: To make them aware of effective machine learning and Artificial Intelligence based data analytics and inference required for Industrial Application.
- PEO5: To inculcate passion for lifelong learning by introducing principles of group dynamics, public policies, environmental and societal context.
Program Outcomes (PO’s)
- PO1. Complex Problem Solving: Solve different kinds of problems in familiar and non-familiar contexts and apply the learning to real-life situations.
- PO2. Critical Thinking: Analyze and synthesize data from a variety of sources and draw valid conclusions and support them with evidence and examples.
- PO3. Creativity: Demonstrate the ability to think ‘out of the box’ and generate solutions to complex problems in unfamiliar contexts by applying concepts of multidisciplinary and interdisciplinary.
- PO4. Analytical reasoning/thinking: Evaluate the reliability and relevance of evidence.
- PO5. Research-related skills: Demonstrate the ability to acquire the understanding of basic research ethics and skills in practicing/doing ethics in the field/ in personal research work, regardless of the funding authority or field of study.
- PO6. Communication Skills: Demonstrate the skills that enable them to express thoughts and ideas effectively in writing and orally and communicate with others using appropriate media.
- PO7. Coordinating/collaborating with others: Demonstrate the ability to work effectively and respectfully with diverse teams using management skills to guide people to the right destination.
- PO8. Digital and technological skills: Demonstrate the capability to access, evaluate, and use a variety of relevant information sources, and use appropriate software for analysis of data.
- PO9. Value Inculcation: Instill integrity and identify ethical issues related to work, and follow ethical practices with or understand the perspective, experiences, or points of view of another individual or group, and to identify and understand other people’s emotions.
- PO10. Sustainability Growth: Demonstrate the capability to lead a diverse team or individual to accomplish and participate in community-engaged services/ activities for promoting the well-being of society to mitigating the effects of environmental degradation, climate change, and pollution.
- PO11. Multidisciplinary Life-long learning: Comprehensive knowledge and coherent understanding of the chosen disciplinary/interdisciplinary areas of study in a broad multidisciplinary context by inculcating a healthy attitude to be a lifelong learner.
Course Fee
National Students ( Semester wise Fee )
1st Semester
₹ 58150
2nd Semester
₹ 58150
3rd Semester
₹ 59850
4th Semester
₹ 59850
5th Semester
₹ 61600
6th Semester
₹ 61600
7th Semester
₹ 63403
8th Semester
₹ 63403
National Students ( Yearly Fee )
1 Year
₹ 113300
2 Year
₹ 116699
3 Year
₹ 120200
4 Year
₹ 123806
International ( Yearly Fee )
3400*
Eligibility Criteria
| Type | Eligibility Criteria |
|---|---|
| National |
|
| International | The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program. |
Career Path
- Data Analyst
- Data Scientist
- Business Analyst
- Machine Learning Engineer
- Data Engineer
- AI/ML Research Assistant
- Statistician
- Quantitative Analyst
- Data Consultant
- Data Visualization Specialist
