B. Tech. (Integrated) Computer Science and Engineering (Data Science)
By School of Engineering & Technology
- Program: Undergraduate (UG)
- Duration: 6 Year(s)
- Intake: 60
Program Outline
Computer Science with specialization in Data Science is a new-age, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The program encompasses Data Science as an interdisciplinary, problem-solving subject that learns to apply scientific techniques to practical problems. It is intensively skill-oriented program with enough practical training for building business models for analytics. With analysis and statistical approach, data science is one of the fastest-growing industry in the country.
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
Data Scientist
Data Analyst
Machine Learning Engineer
Big Data Engineer
Business Intelligence Developer
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
Lab
Advance Programming Labs for AI and ML Programming.