MA/MSc Data Science & Analytics is a 2-year program at Shoolini University. This postgraduate degree is perfect for aspirants who are passionate about discovering something new and want to carve out a career in the field of Data Analytics.
Data is collected at an exceptional speed and scale in today’s world. However, big data needs ‘big insight’. The Data Science and Analytics program provides these skills, combining theory with hands-on training and experience. Students develop a critical understanding of the latest developments in data science and practical skills. This helps them apply data science more effectively in a variety of sectors including finance, retail and government.
Special emphasis is laid on analytical practices, which helps extend the value of business intelligence and analytics for handling data. This study is most suitable for those interested in data analytics and are good at handling data.
The especially designed curriculum explores current research and practice in data science and analytics, extending students’ knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.
Key Highlights
- State-of-the-art computer labs
- Industry Recognised Certifications
- ‘Diamond Rating’ by QS I-Gauge
- Valuable collaboration with IBM
- Support from global giants like Microsoft & AWS Academy
- Students work with a small team of peers and are assigned mentors to conceptualise breakthrough applications
- Learn from the best industry and academic mentors on live projects
- AI Interview Coaching Prep with access to Siqandar, the world’s best interview prep coach
MSc Data Science Career Opportunities
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| Sr. No. | COURSE NAME | CREDITS | COURSE TYPE | |
| Theory | ||||
| Semester-I | 1 | Discrete Mathematics | 4 | Core |
| 2 | Algorithm and Data Structure | 3 | Core | |
| 3 | Computer Architecture and Organization | 4 | Core | |
| 4 | Python Application Programming | 2 | Core | |
| 5 | Fundamentals of Data Science | 4 | Core | |
| Practical | ||||
| 1 | Algorithm and Data Structure Lab | 1 | Core | |
| 2 | Python Application Programming Lab | 1 | Core | |
| 3 | Front End Development Lab | 1 | Core | |
| Total | 20 | |||
| Theory | ||||
| Semester-II | 1 | Design and Analysis of Algorithm | 3 | Core |
| 2 | Advance Theory of Automata | 4 | Core | |
| 3 | Data Science & AI | 3 | Core | |
| 4 | Time series analysis and Forecasting | 3 | Core | |
| 5 | Operating System Concepts | 3 | ||
| Practical | ||||
| 1 | Operating System Concepts Lab | 1 | Core | |
| 2 | Design and Analysis of Algorithm Lab | 1 | Core | |
| 3 | Time series analysis and Forecasting Lab | 1 | Core | |
| Total | 19 | |||
| Theory | ||||
| Semester-III | 1 | Multivariate Data Analysis | 3 | Core |
| 2 | Machine Learning Foundation | 3 | Core | |
| 3 | Specialization | 4 | Core Elective-I | |
| 4 | Applied Software Engineering | 3 | Core | |
| 5 | Database Management System | 3 | Minor | |
| Practical | ||||
| 1 | Machine Learning Lab | 1 | Core | |
| 2 | Database Management System Lab | 1 | Core | |
| 3 | Applied Software Engineering Lab | 1 | Core | |
| 4 | Synopsis | 3 | Research | |
| Total | 22 | |||
| Theory | ||||
| Semester-IV | 1 | Specialization | 4 | Core Elective-II |
| Practical | ||||
| 1 | Major Project/ Case Study/ Dissertation | 10 | Core | |
| Total | 14 | |||
| Total Credits(20+19+22+14) | 75 | |||
| Specialization | ||||
| Core Elective-I | 1 | Statistical Foundation of Data Sciences | 4 | |
| 2 | Computing for Data Science | |||
| Core Elective-I | 1 | Information Security and Privacy | 4 | |
| 2 | Data Handling and Visualization | |||
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Shaurya Bahuguna
Full Stack Software Developer, TunicaLabs Media Pvt. Ltd., Mumbai The soothing environment on the Shoolini campus helped me focus on my goals and push my boundaries. The faculty provided ample learning opportunities to every student even during the challenging Covid times, transforming me into a corporate professional. I wish Shoolini progresses from strength to strength!
Frequently Asked Questions
Who teaches MSc Data Science at Shoolini University?
Shoolini University has a blend of senior and young faculty with Doctoral degrees in their respective fields. They have worked in premier institutions/universities in their field and have ample industrial exposure too.
How do you expose students to industry experience?
Students of MSc Data Science get hands-on experience through internships and industrial visits organised each semester. Moreover, the university has state-of-the-art labs. The Collaboration with Ikigai Lab, and IIT Kanpur benefits students. Apart from this guest lectures by renowned professors and personalities helps students in gaining experience.
Is practical training a part of MSc Data Science?
Yes, students are given opportunities for internships in top organisations where they apply their theoretical knowledge to real-world scenarios and gain hands-on experience with data analysis, machine learning techniques, and relevant tools and technologies.
What are the placement opportunities available for students who have successfully completed MSc Data Science at Shoolini?
Shoolini University has a dedicated Placement Cell that helps students secure lucrative jobs after completing MSc in Data Science. They can pursue roles as data scientists, data analysts, machine learning engineers, or business intelligence analysts. Additionally, opportunities also exist in data engineering and research.
Sahil Baglat
Programmer Analyst, Cognizant, Bangalore I give full credit to my alma mater for my placement with Cognizant, a multinational information technology services, and consulting firm. At Shoolini, we always had the freedom to choose what interested us. Our faculty always were like pillars of strength. My takeaways are good memories and a great deal of learning.