DURATION
2 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 Future Skills 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 M.S C. – DATA SCIENCE and ANALYTICS
Graduation in STEM (Science, Technology, Engineering, and Mathematics) subjects, Economics/Statistics also preferred
PROGRAMME TYPE
PG
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 M.S C. – DATA SCIENCE and ANALYTICS
Graduation in STEM (Science, Technology, Engineering, and Mathematics) subjects, Economics/Statistics also preferred
PROGRAMME TYPE
PG
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 M.Sc. – Data Science and Analytics are as follows –
Course Breakup
COMPUTING FUNDAMENTALS
STATISTICAL METHODS
MACHINE LEARNING
ADVANCED CONCEPTS IN DATA SCIENCE
Computing Basics
Computing environment, operating systems, networking, object-oriented programming, modern computing scenarios and cloud computing
Database Management
Manage data in relational databases and SQL programming
Statistics
Statistics and probability, statistical modelling, and data analysis
Time series analysis
Time series to forecast, smoothing techniques, time series as a stochastic process, spectral analysis of time series data
Machine learning
Design algorithms, machine learning techniques working with business and scientific data
Python
Analyze and process data, build machine learning models with Python programming language
Big Data
big data concepts, Hadoop ecosystem, build big data environment, apply machine learning in distributed big data environment
AI
AI concepts and use- internet of things, soft computing, green computing, optimization techniques, and game theory
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
Top Recruiters
