COURSE STRUCTURE* FOR 5-YEAR B.TECH – M.TECH (CSE) DEGREE
(*Subject to further re-organization/updation/revision based on experts’ feedback)
PREAMBLE
With an objective to prepare learned and skilled professionals for SAARC countries having strong conceptual and practical background, a dual degree B.Tech – M.Tech (Computer Science and Engineering) programme of five years duration is offered. The salient features of the programme are:
The University follows a unique up-to-date curriculum with the aim of equipping students with strong analytical and technical skills as well as thorough knowledge of and expertise in the latest state-of-the art techniques in Computer Science as well as in the interdisciplinary disciplines so that they can work competently in diverse areas including industry, teaching and research and development. Besides having a good mix of theoretical and lab-oriented computer science courses together with a reasonable amount of training/learning in the interdisciplinary domains, the Dual Degree B.Tech.-M.Tech (Computer Science and Engineering) programme has a project component which also provides an opportunity to students to work on research problems under the close supervision of faculty members so that they are equipped to work in leading industries, international R&D institutions or pursue a career in top-ranking academia towards higher education and research.
MINIMUM ELIGIBILITY CRITERIA
A student must have passed the Class 12 or Higher Secondary or any equivalent qualifying examination in Science stream (having Mathematics and Physics/Chemistry as mandatory subjects) with a minimum of 65% marks in aggregate based on education board recognized by any of the SAARC nations.
SELECTION PROCESS
The following admission process is adopted:
Route 1: Merit list based on JEE Main (conducted by IITs) scores.
Route 2: Merit list based on entrance examination conducted by SAU.
SAU: Course Structure for Dual Degree B.Tech. + M.Tech. CSE
Sem- I (w.e.f. 2025-26 admitted students)
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
MTH-001 |
Math-I |
3 1 0 |
4 |
|
|
2. |
PHY-001 |
Engineering Physics |
3 0 0 |
3 |
3 |
|
3. |
ENG-001 |
Communication Skills in English |
2 0 2 |
3 |
|
|
4. |
CSE-101 |
Fundamentals of Computer Programming |
3 0 3 |
4.5 |
|
|
5. |
EEE-101 |
Fundamentals of Electrical and Electronics Engineering |
3 0 2 |
4 |
|
|
6. |
ECA-001 |
Sports/NCC/NSS/Extra-Curricular- I |
0 0 2 |
|
|
|
7. |
CSE-102 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
19.5 |
|
|||
Sem- II
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
MTH-002 |
Math-II |
3 1 0 |
4 |
|
|
2. |
CSE-103 |
Digital Logic Design |
3 0 2 |
4 |
|
|
3. |
CSE-104 |
Data Structures |
3 0 3 |
4.5 |
|
|
4. |
CSE-105 |
Python Programming |
2 0 2 |
3 |
|
|
5. |
PHY-002 |
Physics Lab |
0 0 2 |
1 |
|
|
6. |
CSE-106 |
Fundamentals of Web Design (exam will be as Practical only) |
1 0 2 |
2 |
|
|
7. |
***-*** |
Soft Skills (conduct to be like a Workshop, preferably) |
1 0 4 |
3 |
|
|
8. |
CSE-107 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
22.5 |
|
|||
Sem- III
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
MTH-003 |
Math-III |
3 1 0 |
4 |
|
|
2. |
CSE-201 |
Design & Analysis of Algorithms |
3 0 3 |
4.5 |
|
|
3. |
CSE-202 |
OOP using Java |
3 0 2 |
4 |
|
|
4. |
CSE-203 |
Computer Organization & Arch |
3 0 0 |
3 |
|
|
5. |
CSE-204 |
Data Base Systems |
3 0 2 |
4 |
|
|
6. |
MGT-001 |
Principles of Management |
3 0 0 |
3 |
|
|
7. |
CSE-205 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
23.5 |
|
|||
|
|
|||||
Sem- IV
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-206 |
Operating Systems |
3 0 2 |
4 |
|
|
2. |
CSE-207 |
Computer Networks |
3 0 2 |
4 |
|
|
3. |
CSE-208 |
Machine Learning |
3 0 2 |
4 |
|
|
4. |
CSE-209 |
Fundamentals of Data Science |
3 0 2 |
4 |
|
|
5. |
CSE-210 |
Fundamentals of Cyber Security (CN or FCS, one of these will have lab) |
3 0 0 |
3 |
|
|
6. |
ECA-002 |
Sports/NCC/NSS/Extra-Curricular -II (HALF stud) |
0 0 2 |
|
|
|
7. |
CSE-211 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
20 |
|
|||
Sem- V
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-301 |
AI and Soft Computing |
3 0 2 |
4 |
5 |
|
2. |
CSE-302 |
Efficient and Competitive Programming |
3 0 3 |
4.5 |
6 |
|
3. |
CSE-303 |
Software Engineering |
3 1 0 |
4 |
4 |
|
4. |
CSE-*** |
Track Elective (TE)-1 |
3 0 0 |
3 |
3 |
|
5. |
CSE-304 |
Full Stack Development (using Web Technologies) |
2 0 3 |
3.5 |
5 |
|
6. |
CSE-305 |
Logical Aptitude and Reasoning Skills (for campus interview preparations) |
2 0 0 |
2 |
2 |
|
7. |
CSE-306 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
22 |
25 |
|||
Sem- VI
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-*** |
TE-2 |
3 0 2 |
4 |
5 |
|
2. |
CSE-307 |
Mobile App Development |
2 0 3 |
3.5 |
5 |
|
3. |
CSE-308 |
Automata Theory |
3 0 0 |
3 |
3 |
|
4. |
CSE-*** |
Dept Elective (DE) -1 |
3 0 2 |
4 |
5 |
|
5. |
***-*** |
Open Elective (OE) -1 |
3 0 0 |
3 |
3 |
|
6. |
ENG-0** |
Presentation, Group Discussions & Interview Skills |
0 0 3 |
1.5 |
3 |
|
7. |
HSS-0** |
Intro to South Asia** (preferably non-credit course, attendance/passing compulsory) |
2 0 0 |
2** |
2 |
|
8. |
CSE-309 |
Case Study/ Self Study based report writing |
|
1 |
|
|
Total |
22 |
26 |
|||
Sem- VII
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-401 |
Advanced Algorithms |
|
|
|
|
2. |
CSE-402 |
Advanced Computer Networks |
|
|
|
|
3. |
CSE-*** |
DE-2 |
|
|
|
|
4. |
CSE-4*** |
TE-3 |
|
|
|
|
5. |
***-*** |
OE-2 |
|
|
|
|
6. |
CSE-403 |
Case Study VII |
|
|
|
|
Total |
|
|
|||
Sem- VIII
Scheme VIII A for students going for Full Semester Internship
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-401 |
Advanced Algorithms |
|
|
|
|
2. |
CSE-402 |
Advanced Computer Networks |
|
|
|
|
3. |
CSE-*** |
DE-2 |
|
|
|
|
4. |
CSE-4*** |
TE-3 |
|
|
|
|
5. |
***-*** |
OE-2 |
|
|
|
|
6. |
CSE-403 |
Case Study VII |
|
|
|
Sem- VIII
Scheme VIII B for students Not going for Full Semester Internship
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-*** |
DE-3 |
|
|
|
|
2. |
CSE-*** |
TE-4 |
|
|
|
|
3. |
***-*** |
OE-3 |
|
|
|
|
4. |
***-*** |
OE-4 |
|
|
|
|
5. |
CSE-400 |
MTech Thesis |
|
|
|
Sem- IX
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-*** |
DE-4 |
|
|
|
|
2. |
CSE-*** |
TE-5 |
|
|
|
|
3. |
CSE-500 |
MTech Thesis |
|
|
|
Sem- X
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
1. |
CSE-501 |
MTech Thesis |
|
|
|
|
2. |
CSE-508 |
Professional Competence |
|
|
|
Tracks
|
General |
AI and ML |
Data Science and AI |
Business Systems and Intelligence |
Cyber Security |
|
Advanced Data Structure and Algorithms |
Neural Networks and Deep Learning |
Neural Networks and Deep Learning |
Digital Media Marketing and Analysis |
Cryptography |
|
Software Testing and Quality |
Computer Vision using AI |
Data Visualization |
Risk Analysis and Assessment |
Privacy and Ethical Hacking |
|
Advanced Networks |
Natural Language Processing |
Social Network Analysis |
Financial Business Intelligence/ Financial Modelling and Planning |
Digital Forensics and Malware Analysis |
|
Emerging Trends in Computer Science |
Generative AI |
Geo-Spatial Analytics |
Business Intelligence Tools |
Web and Database Security/ Network Security |
|
|
|
Business Analytics and Intelligence/ Business Intelligence Tools |
|
|
|
Open Electives |
Deptt. Electives |
Cloud Computing |
|
|
Quantum Computing |
Digital Image Processing |
|
|
|
Software Project Management |
Software Testing and Quality |
|
|
|
Parallel Algorithms |
Object Oriented Analysis and Design |
|
|
|
bedded Systems Design |
Robotics |
|
|
|
Computer Graphics |
Big Data Analytics |
|
|
|
|
Semantic Web Technologies |
|
|
|
|
IOT
|
|
|
|
|
Human Computer Interface |
|
|
|
|
Blockchain Technologies |
|
|
|
|
Data Warehousing and Data Mining |
|
|
