Atlas SkillTech University MBA Admissions 2026
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MBA Data Science is a postgraduate degree programme in management. The course is divided into four semesters. It combines data science and technology for business decision-making. In India, around 5 colleges provide Data Science courses since it is a relatively new specialisation. It includes a mix of business-related subjects, a thesis and a project. Core subjects like Accounting, Finance, Business Analytics, Data Mining, and Artificial Intelligence are included in the course curriculum. While offline MBA in Data Science courses are relatively fewer in India, candidates also have the opportunity to pursue an online MBA in Data Science from top Indian universities.
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An MBA in Data Science equips students with both managerial expertise and advanced analytical skills. The programme is designed to meet the growing demand for data-driven decision-makers in industries such as finance, healthcare, and IT. Graduates can expect lucrative roles in analytics and leadership. Below are key highlights, including job roles, average salary, and duration.
Particulars | Values |
---|---|
Degree Name | MBA in Data Science |
Degree Type | Postgraduate |
MBA Data Science Course Duration | Two years |
MBA Data Science Entrance Exams | CAT, CMAT, XAT, MAT, SNAP |
MBA Data Science Eligibility Criteria | Bachelor’s degree in any |
MBA Data Science Admission Process | Entrance test |
MBA Data Science Average Fees | Rs. 85,500 to Rs. 15.56 Lakhs |
MBA Data Science Average Salary | Rs. 15.5 LPA (Data Scientist) |
MBA Data Science Job Profiles | Data Scientists, Business Analysts, Data Analysts, Product Managers |
MBA Data Science Top Recruiters | Amazon, Deloitte, MuSigma, Flipkart, IBM, Accenture |
Eligibility criteria for an MBA in Data Science may vary by institution, but most colleges follow a similar framework. These requirements ensure that candidates have the academic foundation and analytical aptitude necessary for the programme. The table below highlights the standard eligibility criteria for this course.
Particulars | Eligibility Parameters |
---|---|
Educational Qualification | Bachelor’s degree in Management, Engineering, Mathematics, Computer Science, or a related field |
Minimum Aggregate Score | 50 per cent aggregate score |
Entrance Exams | CAT, XAT, CMAT, SNAP, MAT |
Work Experience | Preferred (minimum one year), though not mandatory |
The MBA Data Science admission process is determined by the governing body or the college's affiliation. It involves an entrance examination as a primary basis for admission. Below, we have listed the admission procedure for the MBA in Data Science as required by colleges.
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There are a limited number of colleges in India that offer MBA in Data Science courses, and each of them typically requires candidates to take an entrance exam for admission. These entrance exams serve as a gateway to some of the country's leading management institutions. In the table, we have listed the popular entrance examinations.
Exam Name | Conducting Body | Exam Pattern |
---|---|---|
Indian Institute of Management Lucknow | ||
All India Management Association (AIMA) | ||
National Testing Agency | ||
Xavier School of Management | ||
Graduate Management Admission Council |
The cutoff is the minimum score required by colleges for admission. Most of the leading management institutes consider the entrance exam scores for admissions. The cutoff for a college may vary every year. It depends on various factors such as the difficulty level of the examination, the number of applicants, the total seat intake and the prestige and stature of the institute.
The course curriculum of MBA Data Science combines both theoretical concepts and practical applications. It also includes a thesis or project component in the final year of the programme. The syllabus of an MBA in Data Science course may vary depending on the college, but the core subjects are very similar. In this section, we have provided the syllabus of Jain University, Bangalore.
The first year of the MBA in Data Science lays the groundwork in economics, management, analytics, and essential programming tools. Students gain analytical and managerial competencies, preparing them for advanced data-driven decision-making. This phase builds a solid foundation for understanding complex data systems and applying them in business environments.
Semester 1 | Semester 2 |
---|---|
Principles of Economics & Markets | Entrepreneurship |
Organisational Behaviour and Human Resources Management | Statistics for Decision-Making |
Managerial Effectiveness & Ethics | Marketing Management & Research |
Quantitative Techniques & Analytics | Business Analytics |
Accounting & Finance | Python for Data Science |
The second year focuses on specialised analytics subjects like AI, data mining, and machine learning. Students apply their knowledge through projects and electives, gaining real-world problem-solving experience. These advanced courses prepare them for roles in data science and business strategy, making them industry-ready for analytical and decision-support positions.
Semester 3 | Semester 4 |
---|---|
Business Environment & Strategy | Data Mining |
Operations Management | Text Mining |
Data Visualisation | AI for Business |
SQL for Data Science | Web & Social Media Analytics |
Predictive Analytics Using Machine Learning | Cross-Functional Elective Course |
Open Elective Course | Master's Thesis / Project |
The fee structure of an MBA in Data Science depends on various factors. Private colleges often charge higher fees as compared to government institutions. The placement facilities and the location of the college also influence the fee. It generally ranges from Rs. 85,000 to Rs. 15.56 Lakhs, depending on the institute.
The field of data science is dynamic and offers a promising future. It also provides candidates with opportunities for global exposure. Data Scientists can work at start-ups, private and government agencies, MNCs and research institutions. Graduates can explore opportunities in data analysis, leadership, business strategy, and management-related roles.
Due to the continuous growth of data-driven industries and the interdisciplinary nature of the work, the scope of Data Science is also rising. Students can contribute to finance, healthcare, e-commerce, and marketing. Candidates can also choose to pursue a PhD if they are inclined towards research and aspire to become academicians.
An MBA in Data Science provides students with knowledge of both management and technology. Therefore, candidates can expect a range of career opportunities. In recent times, there have been a lot of advancements in the data science industry, which will increase the chances of getting a good job. Popular job roles available after graduation are mentioned below.
Job Profiles | Description | Average Salary (LPA) |
---|---|---|
Data scientists are professionals who are responsible for collecting, cleaning, and analysing data to derive insights and build predictive models. They play a crucial role in making data-driven decisions within an organisation. | Rs. 15.5 LPA | |
Data analysts are specialists who focus on examining data to identify trends, create visualisations, and generate reports to help organisations make informed decisions. They often work with data scientists to deliver actionable insights. | Rs. 6.8 LPA | |
Business analysts apply data to assess and improve business processes, strategies, and operations. They work closely with different departments to enhance efficiency and profitability. | Rs. 10.3 LPA | |
Product managers use data insights to make informed decisions about product development and strategy. They work to enhance the user experience and drive product success. | Rs. 22.2 LPA | |
Project managers with expertise in data science oversee data-related projects within organisations. They ensure the successful execution and implementation of all projects. | Rs. 17.6 LPA |
Salary Source: AmbitionBox
With digitalisation, the scope of data science has also increased, and many universities are trying to include the course because of its growing importance in recent times. Data Science has become the most sought-after career choice. Data Scientists are required in almost every industry to help analyse large amounts of data.
MBA Data Science benefits from job opportunities in business, management, and data science-related fields. Graduates are also offered competitive salaries due to their specialised skill sets and the value they bring to organisations. After graduation, students can also apply for a PhD if they are interested in research.
Many private colleges in India offer an MBA in Data Science. They provide good placement facilities and other amenities for the comfort and convenience of the student. In the table mentioned below, we have provided information on the leading government institutes, along with their fees.
Top Colleges | Fees |
---|---|
Rs. 85,500 | |
Rs. 1.75 Lakhs | |
Rs. 8 Lakhs | |
Jain Deemed to be University, Bangalore | Rs. 2.40 Lakhs |
Rs. 14.56 Lakhs | |
Rs. 4 Lakhs | |
Rs. 10.80 Lakhs |
An MBA in Data Science prepares students with a combination of business insight and analytical skills, making them valuable investments in data-driven industries. It offers excellent career opportunities across sectors like finance, healthcare, and technology.
Frequently Asked Questions (FAQs)
Common entrance exams for MBA Data Science programmes in India include CAT, GMAT, CMAT, and MAT.
Candidates can compare curriculum, faculty, and facilities, and look for reviews and rankings to find the course that aligns with their goals and preferences.
The choice depends on the candidate’s career goals. A specialised Data Science MBA programme is beneficial if a candidate wants to focus on data-related roles.
An MBA in Data Science includes a strong focus on data analytics and data-driven decision-making, which is not as prominent in a traditional MBA.
Yes, many universities offer online MBA in Data Science programmes, making it convenient for working professionals to pursue the degree.
Salary can vary based on factors like experience and location, but graduates often receive competitive salaries due to their specialised skill set. The average MBA Data Science salary is Rs. 9.34 LPA.
An MBA in Data Science is a postgraduate programme that combines business management education with a focus on data analytics and data-driven decision-making.
While a background in data science or programming is helpful, it is not mandatory. MBA Data Science courses are designed to accommodate students from diverse academic backgrounds.
Graduates can pursue careers as data scientists, data analysts, business analysts, consultants, and managers in various industries.
Prerequisites may vary, but generally, a bachelor's degree from a recognised university is required. Some colleges also require relevant work experience.
On Question asked by student community
Hello aspirant,
Here below I am providing you with the name of some of the best MBA colleges in Hyderabad:
To know about more colleges, you can visit our site through following link:
https://bschool.careers360.com/colleges/list-of-mba-colleges-in-hyderabad
Thank you
Hello,
Here are some top MBA colleges in India with fees under Rs. 2 lakh and their exam/cutoff details:
SIMSREE, Mumbai – Fee around Rs. 1.3–1.4 lakh for 2 years. Accepts CAT, CMAT, MAH-CET, MAT, ATMA. Cutoff is very high, usually 99+ percentile in CAT/CMAT.
PUMBA (Dept. of Management Sciences, Savitribai Phule Pune University) – Fee around Rs. 1.2–1.3 lakh. Accepts CAT, CMAT, MAH-CET, ATMA. Cutoff approx. 75+ percentile in CAT, 90–95+ percentile in CMAT, high scores in MAH-CET.
TISS, Mumbai (MA HRM & other management-related programmes) – Fee around Rs. 1.7–1.9 lakh. Accepts CAT for some courses. Qualifying cutoff is around 60–70 percentile, but final selection cutoffs are higher.
These are the main government institutes where the full MBA/PG programme fee is within Rs. 2 lakh. Cutoffs vary slightly each year and by category, but SIMSREE and PUMBA generally need high scores, while TISS has its own process along with CAT shortlisting.
Hope it helps !
Yes, MBA in FinTech is a good option if you are interested in the combination of finance and technology. After this course you can work in roles like FinTech product manager, financial analyst, blockchain/crypto specialist, risk & compliance manager, or business development manager in banks, startups, and financial companies.
For the salary part, freshers usually start with around 5–10 LPA in normal companies and in bigger FinTech firms or banks it can even go up to 10–15 LPA, depending on your skills, college, and location.
If you do Data Science and then an MBA in Finance, you can get many high-paying jobs. Some of the best options are:
1. CFO (Chief Financial Officer) – You manage a company’s finances, budgeting, and reports. Big companies pay 40 lakh to 1 crore per year.
2. Investment Banker – You help clients raise money and do mergers or acquisitions. Salaries start around 10–12 lakh for freshers and can go up to 30 lakh or more with experience.
3. Chief Data Officer – You lead data strategies in companies. Pay can be 80 lakh to 1.3 crore per year.
4. Machine Learning Engineer / AI Scientist – You create AI and ML models. Salary is around 35–42 lakh per year.
5. Product Manager – You manage product strategy and market positioning. Can earn 89 lakh to 1.1 crore per year in big tech companies.
6. Financial Actuary – You analyze financial risks. Pay is around 25–30 lakh per year.
Hello,
If you have made a mistake while entering your education details in KEA PGCET MBA option entry, you cannot edit it directly once it is submitted. You need to contact KEA immediately.
You can:
Call the KEA helpline numbers.
Or visit the KEA office with your documents.
They will guide you on how to correct the mistake. Do it quickly, as corrections are allowed only within the given time.
Hope it helps !
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