DURATION
4 Years
Advantage
Collaboration
CDAC Collaboration
Our institute collaborates with CDAC, a premier IT education and research organisation. This partnership enables our students to attend CDAC-conducted certificate courses on information technology, enhancing their skills and knowledge in cutting-edge technologies.
NASSCOM FutureSkills Prime
Our collaboration with NASSCOM FutureSkills prime equips IT professionals and students with Intelligent Automatior competencies, offering courses in Al, Big Data, Cloud Computing, Cyber Security and more
Subex loT
Subex offers workshops on smart technology using IoT devices. These Workshops provide students with a hands-on learning experience in developing loT solutions
AWS
Amazon Educational Services offers students self-paced training and resources on Amazon Clouds Services (AWS)
- Key Facts
- Course Details
- Scope & Career Opportunities
- Success Stories
Key FactsMINIMUM ELIGIBILITY FOR B.SC.- DATA SCIENCE
10+2 passed in any stream from a recognized board. Candidates appearing for Class XII final can also apply.
PROGRAMME TYPE
UG
DEGREE AWARDED BY
MAKAUT
ADMISSION PROCESS
To complete admission online, follow the steps below:
- Fill up the online application form
- Sit for ENPAT and personal interview
- Receive selection letter via e-mail
- Pay admission fees
MINIMUM ELIGIBILITY FOR B.SC.- DATA SCIENCE
10+2 passed in any stream from a recognized board. Candidates appearing for Class XII final can also apply.
PROGRAMME TYPE
UG
DEGREE AWARDED BY
MAKAUT
ADMISSION PROCESS
To complete admission online, follow the steps below:
- Fill up the online application form
- Sit for ENPAT and personal interview
- Receive selection letter via e-mail
- Pay admission fees
Course Details
Core curriculum details for B.Sc. – Data Science are as follows –
Course Breakup
COMPUTING FUNDAMENTALS
STATISTICAL METHODS
MACHINE LEARNING
ADVANCED CONCEPTS IN DATA SCIENCE
Foundation of Computer Science
fundamentals of computing, computing peripherals, data structure, web and internet.
DBMS
management of data, databases and SQL programming
Statistics Theory
fundamentals of statistics and probability, statistical modeling and data analysis.
Time series
time series to forecast, smoothing techniques, time series as a stochastic process, spectral analysis of time series data.
Artificial Intelligence & Machine learning
Design algorithms, artificial intelligence & machine learning techniques, AI/ML applications with business and scientific data.
Python Programming
Analyze and process data, build machine learning models with advanced Python programming language.
Big Data Analytics
big data concepts, Hadoop ecosystem and build big data environment, apply machine learning in distributed big data environment.
Business Intelligence
techniques of faster reporting, analysis, planning, business decision support, improved data quality, operational efficiency, agile methods, user centricity and customer satisfaction.
Scope & Career Opportunities
The demand for skilled IT professionals is skyrocketing, offering students a wide range of job opportunities both in India and abroad. With a degree in Computing and Analytics, you can explore exciting career prospects in:
- Computer System Analyst
- Computer Technical Support
- Software Programmer
- Software Developer
- Web developer
- Software Quality Assurance Analyst
- Database Administrator
- Networking and Systems Administrator
- Data Analyst
- Data Scientist
- Data Architect
- Data Administrator
- Business Analyst
- Data/Analytics Manager
- Business Intelligence Manager
Success Stories
Amrita Ohdedar
Ernst & Young
Shaheen
Neilsoniq
Ashik Gayen
Capgemini
Simran
TCS
Ananya Kayal
Amazon
Debmalya Halder
Cognizant
Subhajit Das
Wipro
Debarghya Roy
Saraswan Chakrabortty
Ankita Khaitan
Supravo Chakraborty
Top Recruiters
