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DATES TO REMEMBER

Change in the Admission dates will be updated here.

ONLINE APPLICATION

INDIAN ADMISSIONS

INDIAN ADMISSIONS

Write to Sikkim Manipal University

Chairman Admissions (Technical Campus),Sikkim Manipal Institute of Technology,Majitar,Rangpo,East Sikkim-737132

+91-9732947000

admission.smit@smu.edu.in

INTERNATIONAL ADMISSIONS

INTERNATIONAL ADMISSIONS

Write to Sikkim Manipal University

Chairman Admissions (Technical Campus),Sikkim Manipal Institute of Technology,Majitar,Rangpo,East Sikkim-737132

+91-9732947000

admission.smit@smu.edu.in

OVERVIEW

 

The B.Tech program in Data Science and Artificial Intelligence 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.

 

Profile of Dr. Rabindranath Bera - Professor & Head of Department

 

Accreditation and Affiliations SMIT_AICTE 2021-2022

 

Vision Mission Objective
To achieve eminence in the field of quality techno-logical education and research in knowledge discovery of mathematical reasoning, statistical, machine learning, and visualization skills. To develop into a department of excellence capable of producing competent techno-managers who can contribute effectively to the advancement of the society.

To prepare students to identify, formulate and solve real life and industrial problems with their knowledge of data science and artificial intelligence.

To develop techno-managerial ability to execute assigned responsibilities.

To provide the guidance to develop moral and ethical attitudes.

To provide education to adopt novel technologies towards the betterment of human life and society.

 

PROGRAM OUTCOMES (PO)

  • 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.

 

SYLLABUS AND COURSE OUTCOMES

Click here for AI & DS syllabus.

Click here for Course Outcomes

 

CAREER OPPORTUNITY 

  • 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.

ELIGIBILITY

 

  • B.Tech. - 10+2/Equivalent with 45% marks in Physics & Maths (Mandatory) and any one from the following:
    Chemistry/Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Engineering Graphics/ Business Studies/Entrepreneurship.
  • B.Tech. [L.E.] - Candidate with a diploma in the appropriate branch of engineering awarded by a State Board of Technical Education, and with at least 50% (45% for SC/ST/OBC) in aggregate in diploma is also eligible for admission to B Tech Curriculum.

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) MET Category:

  • Manipal Entrance Test (MET) conducted by MAHE (Manipal Academy of Higher Education)

 

d) SMIT Online Test:

  • Candidates seeking admission under this category will have to appear for online test conducted by SMU.

FEES

The scheme of education here finds impressive expressions of those qualities in our students that contributes effectively to their personal growth & of society.

Director, SMIT

YEAR

Fees For General Category

Students

Fees For Sikkim

Quota Students

First Year3,20,0001,91,000
Second Year3,20,0001,91,000
Third Year3,20,0001,91,000
Fourth Year3,20,0001,91,000
Total Fees12,80,0007,64,000

 

For scholarship of B.Tech 1st year and Lateral Entry click here

BENEFITS