Master of Technology (M.Tech) CSE 2024
Other Specialization:
Overview
Master of Technology (M.Tech) is a postgraduate academic degree program that focuses on advanced studies and specialization in various branches of engineering and technology. This program is aimed to provide the students with wide variety of opportunities; both in industry as well as in the R&D fields. A Master degree program is an opportunity to further advance your Education.
The graduate and post-graduate Engineering programs in Data Science, Artificial Intelligence, and Machine Learning at CPU are about providing an innovative education filled with discovery, and dissemination of knowledge.
Students get to learn under the supervision of highly adept and experienced faculty teams developing the skills they need to succeed and make a valuable contribution right from the start. The graduate & post-graduate engineering programs encourage students to think with an internal perspective and design solutions that meet human and social needs and create an economic value that helps them to sustain in this competitive environment.
Scope of M.Tech CSE
According to US Bureau of Labor Statistics, The employment outlook for computer and information technology occupations is exceptionally promising, with a projected growth rate significantly higher than the average across all occupations from 2022 to 2032. On average, approximately 377,500 job openings are anticipated each year within these fields. This surge is attributed to both the expansion of employment opportunities and the imperative to fill positions vacated by workers departing these occupations permanently. The robust projection underscores the ongoing demand for skilled professionals in the computer and information technology sectors over the next decade.
Course Structure M.Tech CSE
The M.Tech in Computer Science and Engineering (CSE) is a postgraduate program designed to provide advanced knowledge and skills in various areas of computer science. The course structure typically includes a mix of core subjects, electives, and project work spread over four semesters. Core subjects often cover topics such as advanced algorithms, computer architecture, distributed systems, machine learning, and data analytics.
Elective courses allow students to specialize in areas like artificial intelligence, cybersecurity, cloud computing, blockchain, or software engineering. The program also emphasizes research, with students undertaking seminars and a major thesis or dissertation in the final year.
| Category | Short Name | Description | Credits |
|---|---|---|---|
| Departmental Core | DC | Discipline Specific Core Courses (DSC) | 29 |
| Departmental Core | DC | Project / Dissertation / Field Study / Survey | 26 |
| Departmental Core | DC | Seminar | 10 |
| Departmental Core | DC | Internship / on Job Experience | 0 |
| Departmental Core | DC | Research Credit Course | 0 |
| Departmental Elective | DE | Discipline Specific Elective Courses(DSE) | 15 |
| Program Linked Core | PLC | Interdeciplinary | 0 |
| Generic Elective | GE | Open courses/Generic Elective (GE) | 0 |
| University Core | UC | Ability Enhancement Courses (AEC) | 0 |
| University Core | UC | Skill Enhancement Courses (SEC) | 0 |
| Value Added Courses common for all UG (VAC) – Non Graded</th > | |||
| University Core | UC | NSS/NCC | 2 |
| University Core | UC | Envionmental Science | 2 |
| University Core | UC | Human Values and Professional Ethics | 2 |
This structure aims to equip graduates with both theoretical foundations and practical expertise to address complex computing problems and pursue careers in industry, research, or academia.
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CSL901 | Introduction to Logic and Functional Programming | 3 | 0 | 0 | 3 | DC | 1st Sem |
| 2 | CSL902 | Data Structures and Algorithms | 3 | 0 | 2 | 4 | DC | 1st Sem |
| 3 | CSL903 | Advanced Computer Networks | 3 | 0 | 2 | 4 | DC | 1st Sem |
| 4 | ESL901 | Power from Renewable and Environment Impacts | 3 | 0 | 0 | 3 | DC | 1st Sem |
| 5 | CSP901 | Software System Laboratory | 0 | 0 | 2 | 1 | DC | 1st Sem |
| 6 | CSD931 | Research Practice – I | 0 | 0 | 10 | 5 | DC | 1st Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CSL911 | Modern Parallel Programming | 3 | 0 | 0 | 3 | DC | 2nd Sem |
| 2 | CSL912 | Digital Image Analysis | 3 | 0 | 0 | 3 | DC | 2nd Sem |
| 3 | CSL934 | Artificial Intelligence And Knowledge Representation | 3 | 1 | 0 | 4 | DC | 2nd Sem |
| 4 | Departmental Elective-1 | 3 | 1 | 0 | 4 | DE | 2nd Sem | |
| 5 | Departmental Elective-2 | 3 | 1 | 0 | 3 | DE | 2nd Sem | |
| 6 | CSD945 | Research Practice – II | 0 | 0 | 10 | 5 | DC | 2nd Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CSL941 | Artificial Neural Network (Deep Learning) | 3 | 0 | 2 | 4 | DC | 3rd Sem |
| 2 | Departmental Elective-3 | 3 | 1 | 0 | 4 | DE | 3rd Sem | |
| 3 | Departmental Elective-4 | 3 | 1 | 0 | 4 | DE | 3rd Sem | |
| 4 | CSD947 | Minor Project | 0 | 0 | 16 | 8 | DC | 3rd Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CSD948 | Dissertation-1 | 0 | 0 | 36 | 18 | DC | 4th Sem |
| Course Code | Course | L | T | P | Credit |
|---|---|---|---|---|---|
| CSL913 | Cryptography and Computer Security | 3 | 1 | 0 | 4 |
| CSL961 | Recommender System | 3 | 1 | 0 | 4 |
| CSL914 | Internet Technologies | 3 | 0 | 0 | 3 |
| CSL971 | Wireless Sensor Network | 3 | 1 | 0 | 4 |
| CSL915 | Cluster and Grid Computing | 3 | 1 | 0 | 4 |
| CSL958 | Data Warehousing And Mining | 3 | 1 | 0 | 4 |
| CSL916 | Wireless Networks | 3 | 1 | 0 | 4 |
| CSL952 | Soft Computing Techniques | 3 | 1 | 0 | 4 |
Department
at a Glance
- Specializations
- Faculty Expertise
- State-of-the-Art Infrastructure
- Curriculum
- Research and Innovation
- Industry Interface
- Student Support Services
- Professional Development
- Global Collaborations and Exchange Programs
Exclusive
Labs
- Microsoft Innovation Center
- Microsoft - Global Technical Support Center (GTSC)
- IBM Software Lab For Emerging Technologies
- Oracle Academy Lab
- Unisys Innovation Labs
Your Department in a Nutshell
- Achievements
- Patents
- Research
- Expert Sessions
- Activities
- Labs
Eligibility & Fee Details
For Indian Students : B.E/B.Tech in computer information Technology or AMIE in Any discipline or M.Sc. (Info Tech,computer science) or MCA (mathematics as optional in UG)
Course Fee | |
|---|---|
Admission Fee (one time) | 5000/- (at the time of admission) |
Tuition Fee | 54000/- Per Semester |
Examination Fee | 3000/- Per Semester |
Development Fee | 8000/- Per Semester |
Caution Money (one time) | 3000/- (Refundable) |
Scholarship Criteria
Based on performance in qualifying exam
| % in Graduation [1] | Scholarship on Tuition Fee | |
|---|---|---|
| Above 90% | 35% | |
| 85% – 89.99% | 25% | |
| 75% – 84.99% | 10% | |
| 60% – 74.99% | 5% | |
- Early Admission Benefits Upto Rs. 5000/- Admission Taken Before 15th July 2024
- Scholarship in Tuition fee (for all 4 semesters): up to 35% based on academic performance.
Why Join M.Tech CSE?
Joining an M.Tech (Master of Technology) program offers several compelling reasons for individuals seeking advanced education and specialization in engineering and technology:
- Deepened Knowledge: M.Tech programs provide an opportunity to deepen one's understanding of a specific engineering discipline or technology. Through advanced coursework, research projects, and practical applications, students gain specialized knowledge and expertise in their area of interest.
- Specialization: M.Tech programs offer specialized tracks and concentrations within various branches of engineering and technology. Students can tailor their education to align with their career goals, interests, and aspirations, focusing on areas such as computer science, electrical engineering, mechanical engineering, civil engineering, and many others.
- Advanced Skills Development: M.Tech programs emphasize the development of advanced technical skills, problem-solving abilities, critical thinking, and analytical reasoning. Through hands-on projects, laboratory work, and research endeavors, students hone their abilities to innovate, design, and implement solutions to complex engineering challenges.
- Career Advancement: An M.Tech degree enhances career prospects and opens doors to a wide range of opportunities in industry, academia, research, and innovation. Graduates are well-equipped to pursue leadership roles, technical positions, consulting opportunities, and entrepreneurial ventures in their chosen field of specialization.
- Research Opportunities: M.Tech programs offer research-oriented tracks that enable students to engage in cutting-edge research, explore new frontiers of knowledge, and contribute to the advancement of their field. Research projects, thesis work, and collaborations with faculty members and industry partners foster creativity, innovation, and intellectual growth.
What makes Department
of M.Tech CSE unique?
The Department of M.Tech (Master of Technology) can stand out for several distinctive features that set it apart from others. Here are some aspects that contribute to its uniqueness:
Placements
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Our Students Speak
Package: 6 LPA
Package: 9 LPA
How to Apply
Steps to Follow
Frequently Asked Questions
M.Tech CSE at Career Point University
M.Tech is a postgraduate academic degree program that offers advanced studies and specialization in various branches of engineering and technology. Pursuing an M.Tech degree can provide you with specialized knowledge, advanced technical skills, and enhanced career opportunities in your chosen field of engineering.
Career Point University offers M.Tech programs with specializations in diverse engineering disciplines, including but not limited to:
- Computer Science and Engineering
- AI & ML
- Cyber Security
The duration of the M.Tech program at Career Point University typically spans two years, divided into four semesters. However, the duration may vary depending on the specific curriculum and specialization chosen by the student.
To be eligible for admission to the M.Tech program at Career Point University, candidates must have completed a Bachelor’s degree in Engineering or Technology (B.E. or B.Tech) from a recognized university or institution. Specific eligibility requirements may vary based on the chosen specialization.
Career Point University may offer scholarships or financial aid options for eligible M.Tech students based on academic performance, merit, financial need, or other criteria. Students are encouraged to inquire about scholarship opportunities from the university’s financial aid office.
Graduates of the M.Tech program at Career Point University have diverse career opportunities in industries such as IT, manufacturing, construction, automotive, aerospace, energy, telecommunications, and research and development (R&D) organizations. They can pursue roles as design engineers, project managers, consultants, researchers, academicians, and entrepreneurs, among others.
Interested candidates can apply for admission to the M.Tech program at Career Point University by filling out an online application form available on the university’s website or by contacting the admissions office directly. The application process typically includes submitting required documents and meeting the eligibility criteria specified by the university.