M.Tech Computer Science & Engineering | Best Engineering College in Dehradun, Uttarakhand | Tula's Institute
Preaload Image

Choose The Tula's Experience

M.Tech Computer Science & Engineering

DEPARTMENTAL VISION

  • To become the centre of excellence in teaching and research.

DEPARTMENTAL MISSION

  • Induce ethical values and spirit of social commitment.
  • Provide a learning ambience to enhance innovations and problem-solving skills.
  • To provide a comprehensive education, benchmarked against the highest global standards.
  • To collaborate with the software industry and adopt technology to achieve quality in technical education.
  • To promote research-based projects/activities in the emerging areas of technology convergence.

Choose The Tula’s Experience

  1. PEO1 : To Achieve Academic growth through multidisciplinary projects and higher learning.
  2. PEO2 : To enhance skills to pursue research oriented cases by adapting new computing technology.
  3. PEO3 : To analyse the role of post graduate engineers as leader in IT Industry and in Engineering project.
  1. PO1 : An ability to independently carry out research / investigation and development work to solve practical problems.
  2. PO2 : An ability to write and present a substantial technical report / document.
  3. PO3 : Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program.
  4. PO4 : Apply the knowledge of engineering principles to develop software systems, products and processes thus to solve real world multifaceted problems.
  5. PO5 : Ability to design and conduct experiments, procedures and technical skills necessary for engineering exploration to solve societal problems and environmental contexts for sustainable development.
  6. PO6 : Recognize the need to engage in self-governing and life-long learning by making use of professional and ethical principles.
  1. PSO1 : Devolve Industry led research project in the field of Computing and its application.
  2. PSO2 : Provide Entrepreneur skills in application development.
S.NOCOURSEDURATIONELIGIBILITY
1.M.Tech - CSE2 years

Passed BE/BTech or equivalent in Computer Science & Engg, Information Technology or MCA.GATE/NET qualified students shall be preferred. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.

I SEMESTER

SUBJECT CODESUBJECT
MCST 101Program Core I- Mathematical foundations of Computer Science
MCST 102Program Core II-Advanced Data Structures
MCST 11XProgram Elective I –
MCST 12XProgram Elective II –
MOET 191Research Methodology and IPR
MAUT 19XLaboratory 1 (Advanced Data Structures)
MCSP 1XXLaboratory 2 (Based on Electives)

II SEMESTER

SUBJECT CODESUBJECT
MCST 201Program Core III - Advance Algorithms
MCST 202Program Core IV - Soft Computing
MCST 23XProgram Elective III –
MCST 24XProgram Elective IV –
MAUT 29XAudit Course
MCSP 201Laboratory 3 (Advance Algorithm)
MCSP 2XXLaboratory 4 (Based on Electives)
MCSP 202Mini Project with Seminar

III SEMESTER

SUBJECT CODESUBJECT
MCST 35XProgram Elective 5 –
OPEN ELECTIVE –
1. MOET 3911. Business Analytics
2. MOET 3922. Industrial Safety
3. MOET 3933. Operations Research
4. MOET 3944. Cost Management of Engineering Projects
5. MOET 3955. Composite Materials
6. MOET 3966. Waste to Energy
MCSP 301/ MCSP 302Dissertation-I /Industrial Project

IV SEMESTER

SUBJECT CODESUBJECT
MCSP 401Dissertation II
SEMESTER-I
PROGRAM ELECTIVE-I
MCST 111Machine Learning
MCST 112Wireless Sensor Networks
MCST 113Introduction to Intelligent Systems

PROGRAM ELECTIVE-II

SUBJECT CODESUBJECT
MCST 121Data Science
MCST 122Distributed Systems
MCST 123Advanced Wireless and Mobile Networks
Audit course 1:
MAUT 191English for Research Paper Writing
MAUT 192Disaster Management
MAUT 193Sanskrit for Technical Knowledge
MAUT 194Value Education

SEMESTER-II

PROGRAM ELECTIVE-III

SUBJECT CODESUBJECT
MCST 231Data Preparation and Analysis
MCST 232Secure Software Design & Enterprise Computing
MCST 233Computer Vision

PROGRAM ELECTIVE-IV

SUBJECT CODESUBJECT
MCST 241Human and Computer Interaction
MCST 242GPU Computing
MCST 243Digital Forensics
Audit course 2
MAUT 291 Constitution of India
MAUT 292 Pedagogy Studies
MAUT 293 Stress Management by Yoga
MAUT 292Personality Development through
Life Enlightenment Skills

III SEMESTER

PROGRAM ELECTIVE-V

SUBJECT CODESUBJECT
MCST 351 Mobile Applications and Services
MCST 352Compiler for HPC
MCST 353 Optimization Techniques
Mr. Lokesh Kumar

Email id: cse.hod@tulas.edu.in
Head of the Department,
Computer Science and Engineering

The department of computer science & engineering aims at providing & ensuring outcome based education through qualitative teaching-learning process, meaningful teacher-taught interactions, state-of-the-art laboratories and well qualified faculty. Our department is striving hard to achieve its vision of becoming a centre of excellence in the field of technical education. The department is constantly working towards improving the all-round skill development of our students through organizing guest lectures, seminars, workshops, conferences and career service events facilitated by national and international experts. Our students are highly motivated and demanded by top recruiters for employment. The department provides the arena to build the students capabilities, communication and employability skills. We believe that the teaching-learning process, coupled with practical experience gained during Industrial Training in reputed organizations, equip our students to handle the challenges posed by the software industry. In addition to mastering theoretical concepts of computer science and practical skills, our focus is to prepare students to conduct research, via a minor and major projects offered in the curriculum. Projects offered stretch across diverse areas like algorithms, parallel computing, computer security, artificial intelligence, computer networks, as well as interdisciplinary areas like human-computer interaction, applied machine learning.

PROMINENT / SENIOR FACULTIES

Name:- Dr. Raghav Garg

Education:- B.Tech, M.S. , Ph.D, M.B.A.

Experience:-  6 Yrs.

Designation:- Associate Professor

Publications:- 6

Name:- Mrs. Suchi Jain

Education:- M.Tech (CSE)

Experience:- 09 Yrs.

Designation:- Assistant professor

TOP RECRUITERS

Admission Helpline No

Apply Now