MBA Data Analytics Admission 2024: Jobs, Salary, Syllabus, Top Colleges

2 Years
Post Graduation
Full Time

The MBA Data Analytics program is a 12-month full-time management program in the field of statistical, quantitative, and computational training which helps students to get a better understanding from complex data. The subjects taught in the curriculum are statistics, machine learning, business intelligence, big data analytics, visualization of data, and management of databases. Through the applied analysis of actual business data, students learn to find solutions to problems, take advantage of the opportunities, recognize the trends, and get the proper tools to support the decision-making based on the data. 

The main subjects from this field are Probability, Econometrics, Financial modeling, Optimization techniques, Data mining, Data warehousing, NoSQL databases, Hadoop, R, Python, and Tableau. Electives provide diversification to choose marketing analytics, risk analytics, operations research, et al. The last one is the capstone project which is a real-world problem that a student has to solve with expected analysis and understanding. 

MBA Data Analytic Highlights 2024

Highlight Description
Program Name Master of Business Administration (MBA) in Data Analytics
Duration Typically 1.5 to 2 years (full-time), duration may vary based on program structure and pace.
Program Type Postgraduate degree
Program Focus Specializes in data analytics, focusing on data-driven decision-making, statistical analysis, and predictive modeling.
Core Courses Data Mining, Statistical Analysis, Machine Learning, Predictive Analytics, Data Visualization.
Elective Options Big Data Analytics, Business Intelligence, Marketing Analytics, Financial Analytics, Text Mining.

MBA Data Analytic Admission Process

1. Requirements: master degree, GMAT/GRE transcript, letters of recommendation, personal statement showing quantitative skills, and a resume. 

2. Key criteria: academic achievement, test score, work experience in data and analytics, communication skills, leadership capabilities.

3. Timeline: students will be able to find early decision best scholarship chances, where periods with deadlines are, and allow 4-6 weeks for decision after an application has completed.  

4. Prepare: take GMAT, do some extra analytics courses, volunteer or work with data science companies, and develop an analytics project portfolio.

5. Fees: tuition fee, other university fees, books & materials, calculating living expense. 

6. Process: virtual admission session, upload scores and documents, if shortlisted, face-to-face interview, the final decision is sent to candidates’ emails.

MBA Data Analytic Eligibility

1. Bachelor's degree: To qualify for this program, you should have attained a bachelor's degree from any discipline from a college or university approved by the program’s accrediting body. Finance students usually come from related academic backgrounds such as business, economics, statistics, mathematics, computer science, and engineering.

2. GMAT/GRE scores: You have to choose from either GMAT or GRE test conducted by you and send your score along with the application.

3. Work experience: While most analytics MBA programs prefer 2 to 3 years of full-time work experience, some schools now are accepting candidates with less experience as well. The ability to do data analysis, business analytics, and quantitative fields is valued and also experience is demanded. 

4. Letters of recommendation: Triple a recommendation letter that clearly emphasize the analyses, intellectual acumen and work ethic you possess, to improve your chances of being accepted.

5. Personal statement: In addition, the submission of the MBA data analytics essay covering what interests you, prior experience, future job aspirations, and the reasons you are applying to the MBA program are prerequisites to being admitted in the data analytics program of the MBA program.

6. Interview: You may be required to interview (in-person/on video) as the last step of an admission process once you have satisfied the basic criteria in a programme of the top rankings.

Master of Business Administration [MBA] (Data Analytic) Entrance Exams

GMAT: The Graduate Management Admission Test measures quantitative abilities, analytical reasoning, verbal ability and integrated reasoning. Very frequently for MBA programs, including data analytics, it measures the readiness of the students for advanced business studies and the quantitative analysis at the graduate level.

GRE: The Graduate Record Examination measures reasoning and writing skills, including verbal, quantitative, and analytical skills. While some of the MBA programs take GRE as an alternative to GMAT score for admission into data analytics concentrations, other programs accept both.

TOEFL: TOEFL is an examination for evaluating language skills of non-native speakers. The knowledge of data analytics which is required as well for international applicants to MBA programs will aid in obtaining the necessary language skills, needed for academic success.

IELTS: Through IELTS (International English Language Testing System), English language proficiency is measured against the non-native speakers. It is also similar to TOEFL that it becomes a mandatory requirement of international applicants to MBA programs and thus ascertaining that they have language skills required for coursework as well as communication concerned with data analytics.

MBA Data Analytic Syllabus

Course Title Description
Data Mining Techniques for extracting insights from large datasets, including classification, clustering, and association rule mining.
Statistical Analysis Application of statistical methods for data analysis, hypothesis testing, regression, and experimental design.
Machine Learning Algorithms and techniques for building predictive models and making data-driven decisions.
Predictive Analytics Methods for forecasting future trends and outcomes based on historical data and statistical modeling.
Data Visualization Visualization tools and techniques for communicating insights and patterns found in data to non-technical audiences.

Top 10 Private Master of Business Administration [MBA] (Data Analytic) Colleges in India with Fee Structure

Tabulated below is the collection of the Top 10 Private Master of Business Administration [MBA] (Data Analytic) Colleges in India with Fee Structure, including their key features.

Name of the institute Location Fees
Techno India University Kolkata, West Bengal INR 632,000
RR Institute of Advanced Studies Bangalore, Karnataka INR 230,000
Lucky Institute of Professional Studies Jodhpur, Rajasthan INR 50,000
B.S. Abdur Rahman Crescent Institute of Science & Technology Chennai, Tamil Nadu INR 374,000
Amity University Greater Noida, Uttar Pradesh INR 660,000
Graphic Era Hill University Dehradun, Uttarakhand INR 307,000
Graphic Era Hill University Dehradun Campus, School of Management Dehradun, Uttarakhand INR 366,200
Graphic Era Hill University Bhimtal Campus, School of Management Nainital, Uttarakhand INR 356,200
Centurion University of Technology and Management, School of Management Bhubaneswar, Orissa INR 300,000
P.P. Savani University Surat, Gujarat INR 298,550

Top Government Master of Business Administration [MBA] (Data Analytic) Colleges in India with Fee Structure

Tabulated below is the collection of the Top Government Master of Business Administration [MBA] (Data Analytic) Colleges in India with Fee Structure, including their key features.

Name of the institute Location Fees
Pondicherry University Pondicherry, Puducherry INR 135,600
GIET University Gunupur, Orissa INR 160,000
JNTUA, Department of Management Studies Anantapur, Andhra Pradesh INR 27,000
Gurugram University Gurgaon, Haryana INR 60,000

MBA Data Analytic Course Placements

Master of Business Administration (MBA) (Data Analytics) graduates are in high demand in the job market. The demand for data-driven decision making is increasing across all industries, and MBA (Data Analytics) graduates have the skills and knowledge to help businesses make better decisions.

MBA Data Analytic Course Jobs and Salary

Specialization Average Salary (INR LPA)
General Data Analytics 7-9
Business Analytics 8-10
Data Science 12-15
Machine Learning Engineering 15-20
Data Architecture 20-25

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