B. Tech. (Integrated) Computer Science and Engineering (IoT, Cyber Security Including BlockChain Technology)

Program Thumbnail By School of Engineering & Technology

Program Image

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

ParticularsAmountRemarks
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
Cybersecurity Analyst/Engineer
IoT Solutions Architect
IoT Solutions Architect
Blockchain Developer
Blockchain Developer
IoT System Administrator
IoT System Administrator
Blockchain Security Analyst
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 NameDesignation
Dr. Parminder Kaur DhingraDirector
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

Computer Labs

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

Class Room

Class Room

02 Digital Facilated.

Labs

Labs

Advance Programming Labs for IOT and Cyber Security.