MSc Data Science

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

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Teacher/Lecturer

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
1 Algorithm and Data Structure Lab 1 Core
2 Python Application Programming Lab 1 Core
3 Front End Development Lab 1 Core
  Total 20  
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  
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  
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
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  
Semester-IV 1 Specialization 4 Core Elective-II
1 Major Project/ Case Study/ Dissertation 10 Core
  Total 14  
Total Credits(20+19+22+14) 75  
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    

Ashish Khosla
Ashish KhoslaProfessor
Virender Rihani
Virender RihaniProfessor
Shyam Singh Chandel
Shyam Singh ChandelProfessor
M. S. Thakur
M. S. ThakurProfessor
Bhaskar Goel
Bhaskar GoelProfessor
Ram Prakash Dwivedi
Ram Prakash DwivediProfessor
Abhilash Pathania
Abhilash PathaniaAssistant Professor
Pankaj Vaidya
Pankaj VaidyaProfessor
Raj Kumar Saini
Raj Kumar SainiAssociate Professor
Raj Kumar
Raj KumarAssociate Professor
Sorabh Aggarwal
Sorabh AggarwalAssistant Professor
Sushil Kumar
Sushil KumarAssistant Professor
Veena Kashyap
Veena KashyapAssistant Professor
Brij Bhushan Sharma
Brij Bhushan SharmaAssistant Professor
Namita Gandotra
Namita GandotraAssistant Professor
Diksha Sharma
Diksha SharmaAssistant Professor
Nitisha Sharma
Nitisha SharmaAssistant Professor
SoniaAssistant Professor
Arunava Poddar
Arunava PoddarAssistant Professor
Arvind Singh Bisht
Arvind Singh BishtAssistant Professor
Kushal Kanwar
Kushal KanwarAssistant Professor
Bharti Thakur
Bharti ThakurAssistant Professor
Prachi Agrawal
Prachi AgrawalAssistant Professor
Navsal Kumar
Navsal KumarAssistant Professor
Nitin Kumar Sharma
Nitin Kumar SharmaAssistant Professor
Rahul Chandel
Rahul ChandelAssistant Professor
Sahil Baglat

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.

Shaurya Bahuguna

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

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.

What are the future opportunities after completing MSc Data Science from Shoolini University?

Pursuing MSc in Data Science from Shoolini University opens up a wide range of future opportunities. You can pursue careers as a data scientist, data analyst, machine learning engineer, or business intelligence analyst, leveraging your skills in data analysis, modelling, and machine learning.

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.

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.

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.

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Course Details

  • Eligibility: Graduation degree in Science and Technology, Engineering, CSE or any other related discipline with minimum 55% marks

  • Admission Criteria: Shoolini University's multiple choice entrance test (SU-SAT)

  • Duration: 2 years

  • Semester Fee

    Himachal Pradesh Domicile : 60000
    Others : 65000
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