The School of Data Science and Business Intelligence was established as a cooperative institution in Mumbai, India, under the aegis of Patkar Varde College, and the University of Mumbai. Since its inception in 2018, it strives to prepare the students for a range of data science, business analytics, and artificial intelligence professions in the future. The school has a variety of undergraduate, postgraduate, and diploma courses including B.Sc., M.Sc., and PG Diploma in Data Science and Business Analytics. A fusion of Python, R, SQL, and machine learning among the technical skills of the business domain is the essence of the curriculum. The involvement of faculty with great experience, guest speakers from the industry, and real-time projects is the reason that the learning of students is so much fun. The School of Data Science and Business Intelligence is also having a separate training and placement cell for the purpose of ensuring students get good industry exposure and placements. The students' overall development happens through the conduct of workshops, hackathons, and networking events. Scholarships are provided to the top performers and the needy ones. The campus hostel situation is rather a modest one but The School of Data Science and Business Intelligence will stand by the students' side to locate the most suitable nearby accommodation. In general, it is the most viable option for students who aspire to be in the industries driven by the data sector.
The School of Data Science and Business Intelligence Studies provides a curriculum focused on cutting-edge technologies in data and analytics. The program offers full-time and part-time undergraduate, postgraduate, and industry-recognized certification programs tailored to meet the requirements of the market. The school is known for its faculty of high remarks, the successful placement of students, and the positive reception of the infrastructure. The facility expansions made in collaboration with prominent companies and schools further highlight the school's commitment to the education it intends to provide. The school's mode of teaching is a mix of theoretical studies and practical applications.
Here are the key highlights of School of Data Science and Business Intelligence
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Feature |
Details |
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Established Year |
2018 |
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Type |
Private/Public |
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Location |
Mumbai |
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Affiliation |
- |
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Recognitions |
UGC/AICTE/NAAC/NIRF Accredited (if applicable) |
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Programs Offered |
UG, PG, Diploma, Certificate |
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Specializations |
Data Science, Business Intelligence, Analytics |
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Mode of Study |
Full-time, Online, Part-time |
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Average Package (2024) |
₹7 LPA |
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Top Recruiters |
Deloitte, Accenture, TCS, Infosys, Capgemini |
School of Data Science and Business Intelligence's portfolio encompasses a variety of degree and diploma programs such as B.Sc. in Data Science, M.Sc. in Data Science, BBA in Business Analytics, and time flexibility offered by the certification programs. The subjects in the class-based and hands-on sessions would mainly be taught for data analysis, machine learning, and business intelligence. The fees range from an amount of ₹50,000 and ₹2,00,000 per year for the certificates and the full-time degrees, respectively. The variety of the courses is also available in an online format which typically has two traits: can be taken from a distance/without attending classes, and/or can be done in one’s free time. Since the market requirement and the world standard are under the influence of volatility, all the courses must be up-to-date in order to match this volatility and the global ethical standards.
Here are the School of Data Science and Business Intelligence Studies Courses and Fees details:
Course | Duration | Eligibility | Fees (Per Year) |
3 Years | 10+2 with Math/Science | ₹1,50,000 | |
BBA in Business Analytics | 3 Years | 10+2 | ₹1,40,000 |
2 Years | Graduation in related field | ₹2,00,000 | |
PG Diploma in BI | 1 Year | Graduation | ₹1,20,000 |
Certificate in Python/ML | 3–6 Months | Open | ₹50,000 |
School of Data Science and Business Intelligence M.Sc. in Data Science and the B.Sc. in Data Science stand out as the best programs due to their learning-by-doing nature and the coverage of the most current trends. The PG Diploma in Business Intelligence, mentioned for its shorter period and career-growing advantage, is most popular among employment people. Many students find it useful to take the advanced tool certificate courses of Python, Power BI, and SQL. In general, the BBA in Business Analytics program is well received by people interested in economics. All the programs are focused on career development and are aligned with the industry’s needs.
Here are the popular programs of the School of Data Science and Business Intelligence
Program Name | Popularity Reason | Target Audience |
M.Sc. in Data Science | High demand in analytics industry | Graduates in STEM fields |
B.Sc. in Data Science | Foundation for data careers | Fresh 12th passouts |
PG Diploma in BI | Short-term skill enhancement | Working professionals |
Certificate in Data Analytics | Upskilling in tools like Power BI & SQL | Beginners and analysts |
BBA in Business Analytics | Blend of business and analytics skills | Commerce/Arts students |
Interested students have only one option, to use the institution's online admission portal in order to submit their application for the program. For the most part, the process is done on the internet, and the options are signing up, uploading the documents, and payment of a particular amount. The School of Data Science and Business Intelligence may make it a prerequisite for the entrants to succeed at an admission exam or to be interviewed before the final decision is made. The paper-based method of choosing students is prevalent for bachelor's ones, while further education ones may involve a second, more advanced level of screening. Those, who have the qualifications and are the best fit for the program are notified through email and the school's website on the same day.
Here is the application process of the School of Data Science and Business Intelligence
Step | Description |
Step 1 | Online Registration via official website |
Step 2 | Upload documents and academic transcripts |
Step 3 | Pay application fee (₹500–₹1000) |
Step 4 | Appear for entrance test (if applicable) |
Step 5 | Personal Interview/Written Test (if required) |
Step 6 | Admission offer and fee payment |
Admission at the School of Data Science and Business Intelligence is made for students who have made the eligibility cut in academic grades and, if applicable, have the scores from the entrance test. At the undergraduate level, school-leaving exam results, together with entrance exam scores, are used in the final college selection. Most programs at the undergraduate level require that the student has completed the 10+2 standard; however, for the postgraduate level, a relevant bachelor's degree is mandatory. Undergraduate school has opted for a fair and transparent admission process of the selection of students. Preparation for some programs may include personal interviews or aptitude tests. It is a one at the time of opening of the early spring season and it continues until the filling of the chair.
Here are the School of Data Science and Business Intelligence Admission details:
Program | Admission Criteria | Selection Process |
UG Programs | 10+2 marks, entrance (if any) | Merit-based / Test + Interview |
PG Programs | UG degree, test scores (if any) | Entrance + Interview |
Diploma/Certificate | Open to all; some may require basic background | Direct Admission |
BES or M.Sc. – School of Data Science and Business Intelligence is to be observed that in cases of admission to the M.Sc. in Data Science program, the cutoff percentile is usually set higher in the admission test than in the B.Sc. program. For B.Sc. and BBA admissions, the selection is mostly based on Class 12 percentage or CUET results. Conducting institute tests are also something the University may consider for its internal selection. This information will be available on the website after the admission round is over and the cutoff is published.
Here are the cutoffs at the School of Data Science and Business Intelligence
Program | Entrance Exam Name | Expected Cutoff (2025) |
B.Sc. in Data Science | Institution-specific / CUET | 75–85 percentile |
M.Sc. in Data Science | GATE / University Test | 60–70 percentile |
BBA in Business Analytics | CUET / Internal Test | 70–80 percentile |
School of Data Science and Business Intelligence offers excellent opportunities for student placement with good salary packages from reputed organizations in data science and that too for various roles such as data science and analytics. Eligible job profiles include fresher roles, which start with a base salary of ₹6.5–7.5 LPA while some students have reported that they got offers even at ₹18 LPA. Career services also include the services like resume building, mock interview practice, and internship support. The number of students securing jobs is impressive; several of them in well-grounded areas have been Amazon, Deloitte, and EY. Support for network contacts, from the time of their studies, and industry mentors could be used as resources in the long-term career development of individuals.
Here are the placements of the School of Data Science and Business Intelligence
Metric | Details |
Placement Rate | 90%+ |
Average Salary Package | ₹6.5–7.5 LPA |
Highest Package | ₹18–20 LPA |
Top Recruiters | Amazon, Deloitte, EY, MuSigma, Fractal Analytics |
Internship Opportunities | Yes – Mandatory in UG/PG programs |
Placement Support | Resume workshops, mock interviews, job fairs |
Plenty of scholarships at the School of Data Science and Business Intelligence are on-hand to make sure that bright and smart students are not letting their educational dreams go in vain. The scholarships which are merit-based are given to those students who are academically excellent, while scholarships which are need-based assist students who belong to poor families. Special events such as the "Women in Tech" program aim at enhancing women's accreditation in the field of data science. The discount of their tuition fee can be an additional benefit that students, who enroll early, may get. All scholarships can be extended if the student's academic performance and behavior are sufficient.
Here is the School of Data Science and Business Intelligence Scholarship
Scholarship Name | Eligibility Criteria | Benefit |
Merit-Based Scholarship | 85%+ in qualifying exam | Up to 50% tuition fee waiver |
Need-Based Assistance | Income below ₹3 LPA | 30–100% fee support |
Women in Tech Scholarship | Female applicants in STEM programs | ₹50,000–₹1,00,000 |
Early Bird Scholarship | Admission before cutoff date | ₹10,000–₹25,000 |
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