B.Tech in CSE ( Data Science)
DATES TO REMEMBER :
12th Apr 2025 : Last Date to Apply for Indian Admissions
01st Aug 2025 : Course commencement date
Overview
B.Tech CSE(Data Science) involves subjects such as Artificial Intelligence, Data Mining, Data Modelling, Machine Learning And Big Data Analytics imparting the state of the art knowledge to the students and prepare them with the skills to perform intelligent data analysis which is a key component in numerous real-world applications.
Crafting success
stories with excellence
in education.
ELIGIBILITY
- B.Tech. - Passed 10+2/equivalent with 45% marks (40% in Reserved Category) in Physics & Maths (Mandatory) and any one from the following: Computer Science / Electronics / Information Technology / Biology / Chemistry / Informatics Practices / Biotechnology / Technical Vocational subject / Engineering Graphics / Business Studies / Entrepreneurship..
ENTRANCE EXAMINATION
a) General Category, Defence, North East, Gorkha Territorial Administration (GTA) and Paramilitary Force Categories:
- The candidates will have to appear for the JEE to be conducted by the CBSE.
- Cut-off JEE Main Score in All India JEE applicable to all reserved categories will be displayed on our website www.smu.edu.in.
b) Sikkim Category:
- Candidates should apply to the Director, Technical Education, HRDD and Government of Sikkim. They should appear in the entrance test conducted by the Government, the details of which will be notified by the Director, HRDD, Technical Education.
c) SMIT Online Test:
- Candidates seeking admission under this category will have to appear for online test conducted by SMU.
d) MET Category:
- Manipal Entrance Test (MET) conducted by MAHE (Manipal Academy of Higher Education)
Program FEES
| Fee | Fees For General (Gen), North East (NE), Defence (Def), ParaMilitary Force (PMF) ,GTA & SAARC | Fees For Sikkim Quota Students | Fees For Non SAARC | Fee Structure ofr NRI / Foreign Category |
| Caution Deposit | 10,000 | 10,000 | 10,000 | 10,000 |
| Exam Fees (One time per year) | 3,500 | 3,500 | 5,000 | 3,500 |
| Lumpsum | 3,60,400 | 2,15,600 | 4,50,500 | $7600 |
| YEARLY | Fees For General Category Students | Fees For Sikkim Quota Students | Fees For Non SAARC | Fee Structure ofr NRI / Foreign Category |
| First Year I Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| First Year II Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Second Year I Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Second Year II Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Third Year I Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Third Year II Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Fourth Year I Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
| Fourth Year II Installment | 1,87,200 | 1,11,800 | 2,34,300 | $3900 |
- Engineering knowledge: Apply the knowledge of mathematics, science,
engineering fundamentals, and an engineering specialization to the solution
of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and
analyze complex engineering problems reaching substantiated conclusions
using first principles of mathematics, natural sciences, and engineering
sciences.
- Design/development of solutions: Design solutions for complex engineering
problems and design system components or processes that meet the specified
needs with appropriate consideration for the public health and safety, and
the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and
research methods including design of experiments, analysis and
interpretation of data, and synthesis of the information to provide valid
conclusions.
- Modern tool usage: Create, select, and apply appropriate techniques,
resources, and modern engineering and IT tools including prediction and
modeling to complex engineering activities with an understanding of the
limitations.
- The engineer and society: Apply reasoning informed by the contextual
knowledge to assess societal, health, safety, legal and cultural issues and
the consequent responsibilities relevant to the professional engineering
practice.
- Environment and sustainability: Understand the impact of the professional
engineering solutions in societal and environmental contexts, and
demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a
member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities
with the engineering community and with society at large, such as, being
able to comprehend and write effective reports and design documentation,
make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
- To excel in industries, technological fields and professional/personal career.
- To develop ability to apply mathematical, scientific and engineering concept to solve real life industrial problems.
- To develop engineering analytical skills in analyzing, designing and developing useful novel products related to mechanical engineering.
- To develop effective communication skills, multidisciplinary approach, excellent teamwork spirit and ability to lead the team.
- To exhibit professionalism with high moral, social and ethical values.
- To provide strong foundation of mechanical engineering for higher education and research.
- Click Here for CSE(Data Science) syllabus.
- Click Here for Course Outcomes
- Mandatory Internships in reputed MNCs, Major Projects in renowned NITs, IITs and Industrial training in prominent IT sector companies gives the students an exposure to the technology in practice and industrial environment.
- Seminars included in the curriculum helps them to experience self-learning and develop communication and interpersonal skills.
- Research activity in the department encourages for innovations and lifelong learning.
- Workshops & conferences held at the department and institution level provides the students with the relevant exposure.
- There are opportunities for students in technical activities through technical clubs such as IEEE student branch.
- AI & DS Department has tremendous potential to cater for the needs of experts in Data Analytics & Artificial Intelligence across diversified Industry Segments viz: IT / Ecommerce / Communication / Retail / Medicine / Banking & Finance / Media / Entertainment / Transportation / Construction / Governance / Automobile / Manufacturing and many more.
- Students are expected to utilize their technical knowledge and skills in core AI
& Data Science using cutting edge technology in their business domains
relevant to the
Industry / Organization.
Entrepreneurship
Development cell (EDC)
Helps students in exploring entrepreneurial opportunities.
Students are encouraged to engage in practical's making them industry ready
World-class campus in a tranquil environment
Best-in-class laboratories and workshops for practical exposure
