MBA in Data Science

Usually, the MBA in Data Science is a 1 to 2 years postgraduate degree program suitable for undergraduates in engineering, computer science, etc., and business undergraduates. In this course, the business bachelor's degree holders can enhance their technical skills and vice versa. In addition, it's a professional qualification that unlocks diverse (almost unlimited) job opportunities after graduation.

MBA in Data Science: Course Details

The following table summarises the MBA in Data Science program.

Program	Postgraduate
Course	MBA in Data Science
Duration of the Course	Between 1 and 5 years (based on the top 5 institutes)
Eligibility Criteria	{High school (10 + 2 equivalent), 60 percent recommended}, a bachelor’s degree, preferably in data science or business administration such as BBA, Bachelor of Data Science, GMAT or GRE, and {IELTS, PTE, or TOEFL (IELTS 6.5 or equivalent recommended)}
Entrance Exams	{IELTS, PTE, or TOEFL (IELTS 6.5 or equivalent recommended) and GMAT or GRE
Tuition Fees	Between 4,78,986 and 48,36,288 INR (based on the top 5 universities)
Jobs	Data Analyst, Data Engineer, Business Analyst, etc.
Average Salary	6,04,000 INR (based on 5 jobs)

What is an MBA in Data Science?

Data Science specialises in the popular MBA degree program worldwide, which prepares students to solve future complex business issues requiring data-driven decision-making modules. After graduation, students can take up various roles in business management and data analytics.

MBA in Data Science: Colleges

Following are the top 5 colleges abroad for pursuing an MBA in Data Science qualification.

These universities may not have an impressive QS World Ranking, but they are the leading institutes for this degree.

S.NO	University Name	Country	QS World Ranking
1	The University of California, Davis	The USA	102
2	Glyndwr University	The UK	NA
3	The University of Delaware	The USA	Between 581 and 590
4	The University of New Haven	The USA	NA
5	The University of Alabama	The USA	Between 1001 and 1200

MBA in Data Science: Subjects

The degree program covers core business administration and data science topics, preparing students for various roles as data scientists, business managers, or business managers with analytical skills.

Below we have mentioned the syllabus to give you an idea of what you are in for.

Accounting for Managers.
Applied Statistics for Decision Making.
Financial Analysis and Reporting.
Macroeconomics in the Global Economy.
Organizational behaviour.
Research Methodology.
Applied Operations Research.
Data Cleaning, Normalization, and Data Mining.
Econometrics.
Foundation Course in Business Analytics.
Project Management.
Spreadsheet Modeling.
Applied Business Analytics.
Foundation Course in Descriptive Analysis.
Foundation Course on Predictive Analysis.
SAP FICO.
SAP HCM.
Stochastic Modeling.
Ethical and Legal Aspects of Analytics.
Healthcare Analytics.
HR Analytics.
Project Work.
R Programming.
Social and Web Analytics.

Cost of Studying MBA in Data Science

The cost of studying for any MBA in Data Science degree program can be between 3,00,000 and 50,00,000 INR for the top universities in this article, given that you haven't applied for a scholarship and are including your living budget, which depends on your lifestyle, chosen nation, etc. Overall, we recommend a budget of around INR 60,00,000 to smoothly sail through your MBA in Data Science qualification.

S.NO	University Name	Course	Duration	Tuition Fees in INR
1	The University of California, Davis	Master of Science in Business Analytics (MSBA)	1 year	NA
2	Glyndwr University	MBA in Big Data Analysis	2 years	4,78,986
3	The University of Delaware	MBA in Business Analytics	NA	10,48,992 (Delaware), 11,72,332(non-Delaware), or 11,37,606 (online)
4	The University of New Haven	Business Administration, MBA, Data Analytics (STEM) Concentration	NA	33,43,856
5	The University of Alabama	STEM Path to the MBA	5 years	48,36,288

Eligibility Criteria for MBA in Data Science

Every course has specific guidelines that students must adhere to qualify for an MBA in Data Science.

These include minimum qualifications, entrance exams, etc. Read below these prerequisites.

To qualify for an MBA in Data Science, the first qualification you need is a bachelor's degree, preferably in business, engineering, computer science, or data science.
Some institutes also require work experience. However, it is mandatory for Executive MBA courses.
GMAT is also compulsory. However, some universities have waivered it off in the present.
Overseas students are also required to prove their proficiency in the English language unless they are from a native nation or their schooling was in the English medium. Otherwise, test scores such as IELTS, PTE, etc., are accepted worldwide.

Exams Required For MBA in Data Science

Regardless of the specialisation, a GMAT exam is also mandatory to qualify for an MBA program internationally. However, many universities have waivered it off regarding the coronavirus pandemic. Some universities may compensate it with a work experience requirement. Here's an overview of marks you should consider.

Name of the University	Exam Name	Minimum Band Requirement
The University of California, Davis	IELTS, GMAT	7.0, NA
Glyndwr University	IELTS, GMAT	6.0 (no band less than 6.0), NA
The University of Delaware	IELTS, GMAT	7.5, NA (600 for a tuition fee waiver)
The University of New Haven	IELTS, GMAT	6.5, NA
The University of Alabama	IELTS, GMAT	7.0, 600

Scholarships To Study MBA in Data Science

Regardless of the specialisation, any MBA overseas is an expensive venture. However, you can apply for any scholarship you qualify to compensate for your MBA in Data Science course costs. These awards can sometimes cover your entire study expenses. Thus we recommended them to every study abroad aspirant.

S.NO	Scholarship Name	Description	Eligibility	Amount in INR
1	David A Francko Fellowships	These fellowships are a great way to finance your postgraduate education – offered by the University of Alabama in the American subcontinent	NA	19,98,466 per year for up to 5 years
2	Provost Assistantship Program	The University of New Haven in the USA runs this scheme to provide financial benefits to its master’s students	NA	Experiential learning, work opportunity, 75 percent tuition fee discount, and hourly wages
3	MSBA Awards: Dean’s Fellowships and MSBA Scholarships)	These scholarships are particular to the MSBA program offered by the University of California, Davis, America	NA	Up to 9,56,934
4	Graduate Scholarships	The University of Delaware in the American subcontinent offer these awards to provide financial benefits to its master’s students	NA	Up to 25 percent of tuition fee for up to 2 years
5	Care Leaver Award	This award is a part of the Glyndwr University in the UK	NA	79,767

MBA in Data Science: Jobs & Salary

Regarding career diversity, the MBA in Data Science has an enormous scope as students can work in the data science or business management fields, which offer almost unlimited job designations. Plus, the data science industry is constantly evolving, so the demand for new, qualified, skilled, and updated professionals will never cease to exist, including the scope for growth and development.

Here are some of the best jobs in this sector.

Job Profile	Salary in INR
Data Analyst	500000
Data Engineer	600000
Business Analyst	400000
Data Scientist	800000
Risk Analyst	720000

How To Study For A MBA in Data Science?

The MBA in Data Science combines the business administration part of management and the technical concepts of data analytics and science. So, learning this course is also complicated; if you take it lightly, you will not get anywhere. So here are some key notes to get the best out of your course.

Step 1: Enroll at one of the top universities offering this course. That way, 50 percent of your learning will be done in classes only.
Step 2: Study the general MBA and data science concepts separately and combine them to see how you can apply information science techniques to solve business problems. It is helpful in academics, but you will also have an edge in your career with a unique skill set.
Step 3: For the data science part, maximum practice is recommended, and for the management and business administration part, we recommend reading as many management books as possible.
Step 4: Done

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