B. Tech. (Integrated) Computer Science and Engineering (IoT, Cyber Security Including BlockChain Technology)
By School of Engineering & Technology
- Program: Undergraduate (UG)
- Duration: 6 Year(s)
- Intake: 30

Program Outline
Billions of smart devices measuring, moving and acting upon all the bits of data have become an integral part of our world today. These innumerable devices are all set to be connected with each other with a technology called – Internet of Things (IoT). These IoT enabled devices and computer systems will be so inevitable in the near future that we won’t be able to image living without them, just as we cannot do without our smart phones today. From entertainment, banking and education to governance, shopping, healthcare, businesses and research everything will be interconnected. In such a situation, protecting our privacy and property will be increasingly challenging and our only shield will be cyber security measures. Along with various other technologies, the latest addition to Cyber security is Blockchain technology, which records information that is difficult to change, hack or cheat. In this program students will learn number of such advanced technologies which will be ruling the world in the near future, thus opening the doors of innumerable career opportunities for them.
Fees Structure
| Particulars | Amount | Remarks |
|---|---|---|
| Tuition Fees | ₹100000/- | Yearly |
| Application Form & MGMU-CET | ₹2000/- | One Time |
| Examination Fees | ₹5000/- | Yearly |
| Student Activity | ₹2000/- | Yearly |
| UMIS & Student Insurance | ₹3000/- | One Time |
| Caution Money Deposit | ₹5000/- | Refundable |
| Eligibility Fees | ₹5000/- | One Time |
| Alumni Association Membership fees | ₹2000/- | One Time |
Program Outcomes
Computer Science Fundamentals
Graduates will possess a strong foundation in computer science principles, including algorithms, data structures, and programming languages.
Statistical Analysis and Data Mining Skills
Acquire expertise in statistical analysis and data mining techniques for extracting meaningful insights from large datasets.
Machine Learning Proficiency
Develop skills in machine learning algorithms and methodologies for building predictive models and making data-driven decisions.
Data Visualization and Interpretation
Gain proficiency in data visualization tools and techniques to effectively communicate insights and trends derived from data analysis.
Big Data Technologies Knowledge
Graduates will be knowledgeable about big data technologies such as Hadoop, Spark, and distributed databases for processing and analyzing large-scale datasets.
Data Engineering and Management
Acquire knowledge and skills in data engineering and management principles, including data cleaning, integration, and storage optimization.
Domain-Specific Application of Data Science
Develop an understanding of applying data science techniques to domain-specific problems in areas such as healthcare, finance, and marketing.
Interdisciplinary Collaboration
Cultivate effective collaboration skills through participation in multidisciplinary projects, reflecting the interconnected nature of data science with other fields such as computer engineering, business, and statistics.
Eligibility
SSC or equivalent from a recognized board
Career Prospects

Cybersecurity Analyst/Engineer

IoT Solutions Architect

Blockchain Developer

IoT System Administrator

Blockchain Security Analyst
Admission Procedure
Step
1
Register on admissions.mgmu.ac.in
Step
2
Fill Application Form
Step
3
Receive entrance test link for MGMU CET (Date will reflect on Student Dashboard / Website)
Step
4
Appear for MGMU CET
Step
5
Check Merit List on Dashboard
Step
6
Verification and Submission of Documents
Step
7
Fees Payment
Step
8
Welcome to MGMU
Teaching Faculty
| Faculty Name | Designation |
|---|---|
| Dr. Parminder Kaur Dhingra | Director |
| Mrs. Rathi Sarika R. | Assistant Professor |
| Mrs. Agrawal Kajal C. | Assistant Professor |
| Ms. Bhagat Chetana B. | Assistant Professor |
| Mrs. Deshmukh Rupali R. | Assistant Professor |
| Ms. Jadhav Amruta K. | Assistant Professor |
| Ms. Maid Monali K. | Assistant Professor |
| Ms. Kachare Ashwini R. | Assistant Professor |
| Ms. Mantri Vaidehi V. | Assistant Professor |
| Mr. Khaire Rohan B. | Assistant Professor |
| Ms. Kothimbire Arcchana R. | Assistant Professor |
Department Infrastructure

Computer Labs
Well Equipped 08 Laboratories which are strategically designed to provide students with the most vital practical exposure.

Class Room
02 Digital Facilated.

Labs
Advance Programming Labs for IOT and Cyber Security.