Specializations Offered by CSE

 

Specializations
Dual Degree Options
Eligible Branches

Artificial Intelligence

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Core Courses

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Total 8 credits need to be taken for core courses

* Since DL is a core for BB students, they can take any other course from SE as part of SC.

Elective Courses

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Total 12 credits need to be taken for elective courses

Semester Wise Plan

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Table-CSE-S-AI-semwise  (use the horizontal scroll bar to see the full table)
Category Course Name L-T-P Credits   Category_ Course Name_ L-T-P_ Credits_
5th Semester   6th Semester
A specialization core can be taken as overload SC DL (BB students can take any course from SE)* 3-0-0 3
  SC DL-Ops 0-0-2 1
Overload the 6th Semester with 4 credits
  Total 4
 
7th Semester   8th Semester
SC ML-Ops Lab 2-0-0 1 SE Specialization Electives 3-0-0 9
SC AI 3-0-0 3  
SE Specialization Elective 3-0-0 3
Overload the 7th Semester with 3 credits Overload the 8th Semester with 3 credits
  Total 7   Total 9

Visual Computing

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Core Courses

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Total 8 credits need to be taken for core courses

Elective Courses

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Total 12 credits need to be taken for elective courses

Semester Wise Plan

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Table-CSE-S-VC-semwise  (use the horizontal scroll bar to see the full table)
Category Course Name L-T-P Credits   Category_ Course Name_ L-T-P_ Credits_
5th Semester   6th Semester
A specialization core can be taken as overload SC Computer Vision 3-0-0 3
   
Overload the 6th Semester with 3 credits
    Total 3
 
7th Semester 8th Semester
SC Computer Graphics 3-0-0 3 SE Specialization Electives 3-0-0 9
SC Visual Computing Lab  0-0-2 2  
SE Specialization Elective 3-0-0 3
Overload the 7th Semester with 4 credits Overload the 8th Semester with 3 credits
  Total 8   Total 9

Socio-Digital Reality

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Core Courses

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Total 8 credits need to be taken for core courses

Elective Courses

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Total 12 credits need to be taken for elective courses

Semester Wise Plan

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Table-CSE-S-SDR-semwise  (use the horizontal scroll bar to see the full table)
Category Course Name L-T-P Credits   Category_ Course Name_ L-T-P_ Credits_
5th Semester   6th Semester
A specialization core can be taken as overload SC Introduction to AR and VR 3-0-0 3
   
Overload the 6th Semester with 3 credits
    Total 3
 
7th Semester 8th Semester
SC Social Networks 3-0-0 3 SE Specialization Electives 3-0-0 9
SC Multimodal Interface 0-0-2 2  
SE Specialization Elective 3-0-0 3
Overload the 7th Semester with 4 credits Overload the 8th Semester with 3 credits
  Total 8   Total 9

Engineering Innovation

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Department Area Specialization in Engineering Innovation is aimed at making students Industry Ready by offering five months Practical Project in an Industry or R & D organization. It focuses on the use of technical knowledge to create products and processes which have usability value. The objective of this specialisation is to recognise such creative engineering endeavours. This activity is not expected to aim only publication of papers. It must happen in collaboration with an IIT J faculty member and is expected to have an industrial or User agency as a partner with MoU. Each project carried out by students will have both a company supervisor and an institute supervisor. Students get real-world experience working for an industry or R & D organization on a project that complements their academic experience. Projects are aimed to enable them for meaningful careers and provide them with an opportunity to engage with industry before graduation.

Engineering Innovation will be a full semester 20 credit engagement. 10 Credits out of 20 will be taken up as a part of Open electives, whereas the student is required to opt for an additional 10 credits in the form of course overload in other semesters. A student would be required to complete a minimum of five months in industries or R & D organization or Institute for Department Area Specialization in Engineering Innovation. Students can opt for it in either the 7th or 8th Semester.

Note: Keeping this in view, Environmental science will be offered in both semesters.

Artificial Intelligence

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B.Tech. + M.Tech. Dual Degree in Artificial Intelligence. Students who opt for the Specialization in AI can opt for dual degree in AI.

Core Courses

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List of Electives will be as per M.Tech. curriculum

* For all students, ML course is a preparatory course and should be replaced with any of the PEs.

# Since DL is a core for BB students, they can take any other course from PE as part of PC.

Semester Wise Plan

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Table-CSE-DD-AI-semwise  (use the horizontal scroll bar to see the full table)
Category Course Name L-T-P Credits   Category_ Course Name_ L-T-P_ Credits_
7th Semester   8th Semester
Take the courses for the Specialization in AI MC Advanced AI / Autonomous systems 3-0-0 3
ME MTech Program Electives 3-0-0 6
 
Overload the 8th Semester with 3 to 4 credits
    Total 9
 
9th Semester 10th Semester
MC Optimization 2-0-0 2 MO MTech Open Elective 3-0-0 3
MC Advanced Data Structure and Algorithms 2-0-0 2 MP Major Project-2 [0-0-15]   15
ME MTech Program Electives 3-0-0 7 NG Innovation and IP Management   NG 1
MP M.Tech. Project 1 [0-0-5] 0-0-5 5    
NG System Engineering and Project Management   NG 1  
  Total 16, NG1     Total 18, NG1

Eligible Branches

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Table-CSE-SDD-Eligibility  (use the horizontal scroll bar to see the full table)
Sr. No. Dept/School/IDRP Name of Specialization Eligible Branches Dual-Degree Possible(Yes/No) Name of Dual Degree Programme
1 CS AI EE, ME, BB, MT, CH, CI Yes MTech AI
2 CS Engineering Innovation CS, AI No
3 CS, EE Visual Computing CSE, AI, EE, ME No
4 CS, EE Socio-Digital Reality CSE, AI, EE No
5* CS, EE AIoT CSE, AI, EE Yes MTech SIoT
6* CS, EE Intelligent Communication and Networking EE, CS, AI No

* Details available with EE department