M. Tech (Computer Science and Engineering)- Artificial Intelligence

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

Duration of Program

2 Years (4 Semesters)

Seats

Seats

10 only

Co-Delivered Courses by Partner Industries

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upes

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
  1. Minimum 60% marks in Class X and XII
  2. 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
  1. Minimum 60% marks in Class X and XII
  2. 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.
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