MSc Data Science

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

  • Duration: 2 years
  • Admission Criteria: Shoolini University's entrance test, and faculty interaction

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

  • Duration : 2 years
  • Admission Criteria : Shoolini University's entrance test, and faculty interaction

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

 

XR/AI Research Centre

Drives innovation by offering immersive, hands-on experiences with emerging tech.

Collaboration with AWS Academy

Students can pursue industry-recognised AWS Certifications.

Research Grants

Government agencies such as DST & HIMCOSTE have provided research and infrastructural grants for advanced labs. 

Top Faculty

Student Voices

Shaurya Bahuguna

Shaurya Bahuguna

Top Campus Recruiters

Some of the major companies that visit our campus and hire our graduates are:

MSc Data Science Career Opportunities

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

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.

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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