Online M.Sc

M.Sc in Data Science

TechnologyOnline2 years1,60,000

Shoolini University's online M.Sc. programs are offered through Shoolini Online, and are designed for flexible, self-paced learning. The university is UGC-recognized, NAAC-accredited, and a Category-1 university. Key features include outcome-based education, potential career advantages like placement or international university admission, and a pay-after-placement option for some programs (though this has been highlighted for MBA).

Unsure if this program fits your goals?

Start a conversation and we will help you validate the curriculum, admissions timeline and post-study outcomes tailored to you.

Unsure if this program fits your goals?

Start a conversation and we will help you validate the curriculum, admissions timeline and post-study outcomes tailored to you.

Eligibility

•
Education
Graduation degree in Science OR Technology
•
Work Experience
Not required
•
Entrance Exams
No entrance exam
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Age Limit
No age limit
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Documentation
Grade Sheet of Class X, Grade Sheet of Class XII, Photocopy of Both Sides of Aadhar Card, Photocopy of Signature, Passport Size Photograph, Grade Sheets of all Semesters of Bachelor’s Degree

Specializations

•Data Analysis
•Machine Learning
•AI
•Data Technologies

Skills You Develop

Exhibit the ability to analyze, interpret, and develop innovative data-driven solutions for industry and research challenges through interactive online discussions, case studies, and capstone projects.
Understand and uphold ethical, legal, and societal responsibilities, ensuring compliance with data privacy regulations and responsible AI practices through dedicated online ethics modules.
Develop leadership abilities to effectively work in interdisciplinary teams and manage large-scale data-driven projects using virtual collaboration tools and remote teamwork strategies.
Identify emerging data challenges, conduct research, and develop innovative AI-driven solutions through digital research databases, online experimentation, and scholarly discussions.
Engage in continuous learning to stay updated with evolving technologies and methodologies, ensuring sustained professional growth in data science through online certifications, webinars, and self-paced courses.