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B.Sc. in Data Science at Atharva Data Science Overview
Total Tuition Fees | ₹6.00 Lakh Get Fees details |
Duration | 3 years Get Curriculum |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 120 |
B.Sc. in Data Science at Atharva Data Science Fees
| Fee components | Amount (3 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 6.00 Lakh |
One time payment includes application fee. | ₹ 1,000 |
₹ 6.01 Lakh |
These are based on information available on various sources. Latest values may differ.B.Sc. in Data Science at Atharva Data Science Highlights
- This course equips students with skills that are in high demand in the Data Analytics industry. B.Sc. DS is the stepping stone for every young student who aspires to a successful career in Data Analytics.
- This course focuses on subjects like Data Analysis. Analytics using Excel, Programming languages like R-Programming and Python programming, Software Engineering , Databases, SQL/PLSQL, Software project management ,Artificial intelligence, Machine learning, and Big Data Technologies such as Hadoop, Spark etc.
- A broad and flexible programme that provides the freedom to choose from an extremely wide range of Data Science topics.
- In-depth training in Python, R, SQL, Power BI, TensorFlow, Hadoop, cloud platforms, and advanced Data Visualization tools.
- Experiential learning through hands-on laboratories, live datasets, industry case studies, hackathons, and analytics challenges
- Exposure to Big Data Technologies, Cloud Computing Environments, and AIenabled Analytical Frameworks
- Regular Expert Talks, Workshops and Mentorship sessions by data scientists, industry leaders and academic researchers o Structured Internships, Mini-Projects, Project Day – Every Friday (Hands on Learning & Portfolio Building) and a final-year Capstone Project to bridge academia and industry
B.Sc. in Data Science at Atharva Data Science Curriculum
Latest curriculum for B.Sc. in Data Science at Atharva Data Science can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in B.Sc. at Atharva Data Science
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B.Sc. in Data Science at Atharva Data Science Placements
| Particulars | Statistics (2025) |
|---|---|
| % Batch placed | 100 |
Top Recruiters for Atharva Data ScienceB.Sc. in Data Science at Atharva Data Science Entry Requirements
- 45%
Candidates must have passed XII Std. Examination of the Maharashtra State Board of Secondary and Higher Secondary Education or its equivalent with Mathematics as one of the subjects with mentioned marks in aggregate and 40% marks in aggregate in case of reserved category candidates.
Candidates who have passed Diploma in Computer Engineering / Computer Science / Computer Technology / Information Technology / Electrical, Electronics & Video Engineering and Allied Branches/ Mechanical and Allied branches, Civil and Allied branches of Engineering after S.S.C. (Xth standard) are eligible for direct admission to the Second Year of the B.Sc. (D.S.) degree course. However, the Diploma should be recognised by the Maharashtra State Board of Technical Education or any other recognized Government body. Minimum marks required 45% aggregate for open category candidates, and 40% aggregate for reserved category candidates are also eligible to apply.
OR
Students with post HSC - Diploma in Computer Engineering / Computer Science / Computer Technology / Information Technology and Allied Branches will be eligible for direct admission to the Second Year of B.Sc. (D.S.) However, the Diploma should be recognised by the Maharashtra State Board of Technical Education or any other recognised Government body are also eligible to apply.
- Not mentioned
B.Sc. in Data Science at Atharva Data Science Admission Process
- Admission ProcessFor admissions related detail please click on https://www.shiksha.com/college/atharva-data-science-malad-west-mumbai-239846/admission
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