Virtual tour
- Please send an e-mail to [email protected]
- You can plan your visit Monday to Friday between 9:30 AM to 5:30 PM.
- You can visit the campus virtually as well, click here.
DETAILS
M.Tech CSE (Computer Science and Engineering) with specialisation in Artificial Intelligence, students learn about essential concepts such as data structures, algorithms, OOPS concepts using Java, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing relevant real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data, models, algorithms, and empirics
Duration of Program
2 Years (4 Semesters)
Seats
10 only
Co-Delivered Courses by Partner Industries
DESIGN YOUR OWN DEGREE
UPES’ curriculum framework is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. Along with the core subject, students have the option to choose from subject-focused specialisations. They are also allowed to choose minor/exploratory subject from other schools at UPES that are: School of Engineering, School of Computer Science, School of Law, School of Business, School of Health Sciences, School of Design, School of Modern Media, and School of Liberal Studies.
Further, based on the multifaceted needs of the global workplace and evolving lifestyles, the curriculum offers Signature and Life-Skills courses through School for Life. To round off this learning experience, students are required to do mandatory internships in the social sector, government/public sector, and industry. The combinations available for students to pick and choose from are endless, ensuring both depth and width of knowledge.
DETAILS
- Minimum 60% marks in Class X and XII
- B. Tech/ BE (IT/(Hons.) Computer Science and Engineering), MCA, M.Sc. (Physics/Math’s/Statistics, with minimum 60% marks. Or Equivalent.
Screening of Application and Personal Interview
SEMESTER I
| Subject Code | Subject | Credits |
| CSEG 7001 | Algorithm Design and Analysis | 3 |
| CSEG 7002 | Advance Database Management Systems | 3 |
| CSEG 7003 | Statistical Modelling for Computer Sciences | 3 |
| Elective I (Choose Any One) | 3 | |
| CSCS 7001P | Data Security | |
| CSAI 7003P | Artificial Intelligence & Expert Systems | |
| CSDA 7001P | Data Mining & Business Intelligence | |
| CSIP 7001P | Computer Graphics | |
| Elective II (Choose Any One) | 3 | |
| CSCS 7002P | Cyber Security and Ethics | |
| CSAI 7004P | Fuzzy Logic and Application | |
| CSDA 7002P | Predictive Modelling | |
| CSIP 7002P | GPU Architecture and Programming | |
| PRACTICAL | ||
| CSEG 7101 | Algorithm Design and Analysis Lab | 1 |
| CSEG 7102 | Advance Database Management Systems Lab | 1 |
| CSEG 7103 | Statistical Modelling for Computer Sciences Lab | 1 |
| Total | 18 | |
SEMESTER II
| Subject Code | Subject | Credits |
| CSEG 7004 | Data Communication and Computer Networks | 3 |
| CSEG 7005 | Modelling & Simulation of Digital Systems | 3 |
| Elective III (Choose Any One) | 3 | |
| CSCS 7003P | Forensic Computing | |
| CSAI 7005P | Artificial Neural Network & Its Applications | |
| CSDA 7003P | Big Data Analytics | |
| CSIP 7003P | Computer Vision | |
| Elective IV (Choose Any One) | 3 | |
| CSCS 7004P | Security of e-Systems and Networks | |
| CSAI 7006P | Natural Language Processing | |
| CSDA 7004P | Decision Management Systems | |
| CSIP 7004P | Digital Image Processing | |
| Elective V (Choose Any One) | 3 | |
| CSCS 7005P | Cryptography and Cryptanalysis | |
| CSAI 7007P | Machine Learning | |
| CSDA 7005P | NoSQL Database Management | |
| CSIP 7005P | Document Image Processing and Compression | |
| PRACTICAL | ||
| CSEG 7105 | Modelling & Simulation of Digital Systems Lab | 1 |
| CSEG 7104 | Data Communication and Computer Networks Lab | 1 |
| Total | 17 | |
SEMESTER III
| Subject Code | Subject | Credits |
| SIIB 8102 | Summer Internship | 7 |
| PROJ 8105 | Project I | 12 |
| Total | 19 |
SEMESTER IV
| Subject Code | Subject | Credits |
| PROJ 8106 | Project II | 18 |
| Total | 18 |
Total credit point for M.Tech Computer Science & Engineering is 72
DETAILS
Eligibility
- Minimum 60% marks in Class X and XII
- B. Tech/ BE (IT/(Hons.) Computer Science and Engineering), MCA, M.Sc. (Physics/Math’s/Statistics, with minimum 60% marks. Or Equivalent.
Selection Criteria
Screening of Application and Personal Interview
Curriculum
SEMESTER I
| Subject Code | Subject | Credits |
| CSEG 7001 | Algorithm Design and Analysis | 3 |
| CSEG 7002 | Advance Database Management Systems | 3 |
| CSEG 7003 | Statistical Modelling for Computer Sciences | 3 |
| Elective I (Choose Any One) | 3 | |
| CSCS 7001P | Data Security | |
| CSAI 7003P | Artificial Intelligence & Expert Systems | |
| CSDA 7001P | Data Mining & Business Intelligence | |
| CSIP 7001P | Computer Graphics | |
| Elective II (Choose Any One) | 3 | |
| CSCS 7002P | Cyber Security and Ethics | |
| CSAI 7004P | Fuzzy Logic and Application | |
| CSDA 7002P | Predictive Modelling | |
| CSIP 7002P | GPU Architecture and Programming | |
| PRACTICAL | ||
| CSEG 7101 | Algorithm Design and Analysis Lab | 1 |
| CSEG 7102 | Advance Database Management Systems Lab | 1 |
| CSEG 7103 | Statistical Modelling for Computer Sciences Lab | 1 |
| Total | 18 | |
SEMESTER II
| Subject Code | Subject | Credits |
| CSEG 7004 | Data Communication and Computer Networks | 3 |
| CSEG 7005 | Modelling & Simulation of Digital Systems | 3 |
| Elective III (Choose Any One) | 3 | |
| CSCS 7003P | Forensic Computing | |
| CSAI 7005P | Artificial Neural Network & Its Applications | |
| CSDA 7003P | Big Data Analytics | |
| CSIP 7003P | Computer Vision | |
| Elective IV (Choose Any One) | 3 | |
| CSCS 7004P | Security of e-Systems and Networks | |
| CSAI 7006P | Natural Language Processing | |
| CSDA 7004P | Decision Management Systems | |
| CSIP 7004P | Digital Image Processing | |
| Elective V (Choose Any One) | 3 | |
| CSCS 7005P | Cryptography and Cryptanalysis | |
| CSAI 7007P | Machine Learning | |
| CSDA 7005P | NoSQL Database Management | |
| CSIP 7005P | Document Image Processing and Compression | |
| PRACTICAL | ||
| CSEG 7105 | Modelling & Simulation of Digital Systems Lab | 1 |
| CSEG 7104 | Data Communication and Computer Networks Lab | 1 |
| Total | 17 | |
SEMESTER III
| Subject Code | Subject | Credits |
| SIIB 8102 | Summer Internship | 7 |
| PROJ 8105 | Project I | 12 |
| Total | 19 |
SEMESTER IV
| Subject Code | Subject | Credits |
| PROJ 8106 | Project II | 18 |
| Total | 18 |
Total credit point for M.Tech Computer Science & Engineering is 72
Eligibility Criteria for Fellowship for M.Tech. Students
- Minimum SGPA / CGPA 8.5 in the first Semester and subsequent semesters/ year.
- Passed every semester on the first attempt without any supplementary or improvement exam.
- Minimum of 75% attendance in the entire semester.
- No disciplinary action was initiated/ awarded against the student.
- Exemplary behaviour and compliance with all other norms as prescribed by the University.
- Such students must not be getting any financial assistance/support e.g., fellowship/scholarship/fee waiver. From any other source public or private.
