What is the fee for online Online M.Sc in Machine Learning at Shoolini University of Biotechnology and Management Sciences online?

The total fee for online Online M.Sc in Machine Learning at Shoolini University of Biotechnology and Management Sciences online is ₹1,60,000. Flexible EMI options start at 30,000/semester.

Is online Online M.Sc from Shoolini University of Biotechnology and Management Sciences online UGC-DEB approved and valid?

Yes, Shoolini University of Biotechnology and Management Sciences online is a recognized institution and its online degree programs are entitled and approved by UGC-DEB, making them completely valid for government jobs, corporate employment, and further studies.

What are the career opportunities after online Online M.Sc from Shoolini University of Biotechnology and Management Sciences online?

Graduates of online Online M.Sc from Shoolini University of Biotechnology and Management Sciences online can pursue corporate and leadership roles across industries. Average starting salary packages typically range from ₹4 to 12 LPA depending on the specialization and previous experience.

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Career Opportunities

Average Salary: ₹5-12 LPA

An AI engineer designs, builds, and deploys AI and machine learning models, requiring a mix of software development, data science, and programming expertise. Key responsibilities include analyzing data, creating and training algorithms, optimizing model performance, and integrating AI solutions into production environments through APIs or embedded code. They also collaborate with cross-functional teams, manage AI infrastructure, and ensure ethical AI practices are followed.

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Online M.Sc in Machine Learning

M.Sc in Data Science at Shoolini University online

Online2 Years₹1,60,000Intake: JanLast Updated: 3 Oct, 2026

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).

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Detailed Curriculum

Specializations Available (4)

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Machine Learning Artificial Intelligence Data Technologies Data Analysis

Active Specialization:Machine Learning

3 of 4 Semesters Unlocked

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Eligibility

Education

Graduation degree in Science OR Technology

Work Experience

Not required

Entrance Exams

No entrance exam

Specializations Offered

Machine Learning Artificial Intelligence Data Technologies Data Analysis

Key Features

•Apply in-depth theoretical and practical knowledge in statistics, machine learning, data mining, and AI to solve complex real-world problems through online learning modules and virtual labs.
•Demonstrate expertise in programming languages, data visualization techniques, and advanced computational methodologies using online coding environments and cloud-based platforms.
•Utilize cutting-edge data science tools, including Python, R, Hadoop, TensorFlow, cloud computing, and AI frameworks, leveraging remote-access computing resources.

Skills You'll 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.