The Master of Business Administration (MBA) with a specialization in Data Analytics is a dynamic and specialized program that equips students with a comprehensive understanding of both business management principles and advanced data analytics techniques. This program is designed to meet the growing demand for professionals who can effectively leverage data to drive strategic decision-making within organizations.
Students in this program engage in a curriculum that covers core MBA subjects such as finance, marketing, operations, and leadership, alongside specialized courses in data analytics. They gain proficiency in statistical analysis, data visualization, machine learning, and predictive modeling. The curriculum emphasizes hands-on experience with industry-standard tools and platforms, ensuring graduates are well-versed in applying analytics to solve real-world business challenges.
|1||Research MBA (Data Analytics) programs and select a few that interest you.|
|2||Visit the websites of the selected programs to learn about their admission requirements and deadlines.|
|3||Fill out and submit an online application form.|
|4||Submit transcripts from all undergraduate courses taken.|
|5||Submit letters of recommendation from two or three professors who can attest to your academic ability and research potential.|
|6||Take any required entrance exams (if applicable).|
|7||Attend an interview (optional).|
|8||Wait for admission decisions.|
|9||Once you have received acceptance offers from multiple programs, compare them carefully and choose the program that is the best fit for you.|
Work Experience (optional):
Standardized Test Scores:
Letters of Recommendation:
Statement of Purpose (SOP) or Personal Essay:
GMAT (Graduate Management Admission Test): The GMAT is a standardized test widely used for MBA admissions. It assesses analytical writing, integrated reasoning, quantitative, and verbal skills. The GMAT is computer-adaptive, meaning the difficulty of questions adjusts based on the test-taker's performance. Business schools globally accept GMAT scores, and a high score is often a key component of a competitive MBA application.
GRE (Graduate Record Examination): While traditionally associated with graduate programs outside of business, many MBA programs now accept GRE scores as an alternative to the GMAT. The GRE assesses verbal reasoning, quantitative reasoning, and analytical writing. It offers flexibility for candidates considering a range of graduate programs.
CAT (Common Admission Test): CAT is a computer-based test widely used for admission to Indian Institutes of Management (IIMs) and other top business schools in India. It assesses quantitative ability, verbal ability, data interpretation, and logical reasoning. CAT scores play a crucial role in determining admission to prestigious MBA programs in India.
MAT (Management Aptitude Test): MAT is a standardized test accepted by various business schools in India for MBA admissions. It assesses candidates' aptitude in mathematical skills, language comprehension, data analysis, and critical reasoning. MAT is conducted multiple times a year in both paper-based and computer-based formats.
XAT (Xavier Aptitude Test): XAT is an entrance exam for admission to Xavier Institute of Management and other associated business schools in India. It evaluates quantitative ability, English language skills, decision-making, and general awareness. XAT is known for its unique sections, including an essay and general awareness.
NMAT (NMIMS Management Aptitude Test): NMAT is accepted by Narsee Monjee Institute of Management Studies (NMIMS) and other management institutes in India. It assesses quantitative skills, language skills, and logical reasoning. NMAT allows candidates to take the exam multiple times within a specified testing window, providing flexibility.
|1||Business Analytics Foundations||Introduction to data analytics, data mining, machine learning, and statistical analysis.|
|1||Data Visualization and Communication||Introduction to data visualization and communication techniques, using tools such as Tableau and Power BI.|
|1||Programming for Data Analytics||Introduction to programming languages for data analytics, such as Python and R.|
|2||Big Data Analytics||Introduction to big data analytics, including Hadoop, Hive, and Spark.|
|2||Predictive Analytics||Introduction to predictive analytics, including forecasting, regression, and classification.|
|2||Prescriptive Analytics||Introduction to prescriptive analytics, including optimization and simulation.|
|3||Business Applications of Data Analytics||Case studies of how data analytics is used in different business functions, such as marketing, finance, and operations.|
|3||Data Ethics and Governance||Introduction to data ethics and governance, including privacy and security.|
|3||Capstone Project||A semester-long project where students apply their data analytics skills to a real-world business problem.|
|1||Indian Institute of Management (IIM) Ahmedabad||Ahmedabad, Gujarat||25,00,000|
|2||Indian Institute of Management (IIM) Bangalore||Bangalore, Karnataka||24,00,000|
|3||Indian Institute of Management (IIM) Calcutta||Kolkata, West Bengal||23,00,000|
|4||Indian Institute of Management (IIM) Indore||Indore, Madhya Pradesh||22,00,000|
|5||Indian Institute of Management (IIM) Kozhikode||Kozhikode, Kerala||21,00,000|
|6||Indian Institute of Management (IIM) Lucknow||Lucknow, Uttar Pradesh||20,00,000|
|7||Faculty of Management Studies (FMS), Delhi University||Delhi||18,00,000|
|8||Xavier School of Management (XLRI)||Jamshedpur, Jharkhand||17,00,000|
|9||SP Jain Institute of Management and Research (SPJIMR)||Mumbai, Maharashtra||16,00,000|
|10||Symbiosis Institute of Business Management (SIMB)||Pune, Maharashtra||15,00,000|
|1||Christ University||Bangalore, Karnataka||1.5 - 3.05 lakh|
|2||Amity University||Noida, Uttar Pradesh||2.2 - 6.36 lakh|
|3||SRM Institute of Science and Technology||Chennai, Tamil Nadu||1.9 - 3.0 lakh|
|4||LPU||Phagwara, Punjab||1.1 - 1.9 lakh|
|5||Symbiosis International University||Pune, Maharashtra||1.5 - 2.3 lakh|
|6||Sharda University||Greater Noida, Uttar Pradesh||1.3 - 2.1 lakh|
|7||Manipal Academy of Higher Education||Manipal, Karnataka||2.4 - 3.5 lakh|
|8||VIT University||Vellore, Tamil Nadu||2.8 - 4.0 lakh|
|9||Jain University||Bangalore, Karnataka||70,000 - 1.5 lakh|
|10||Chandigarh University||Mohali, Punjab||90,000 - 1.7 lakh|
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.
|College||Average CTC (INR LPA)|
|Indian Institute of Management (IIM) Ahmedabad||30|
|Indian Institute of Management (IIM) Bangalore||29|
|Indian Institute of Management (IIM) Calcutta||28|
|Indian Institute of Management (IIM) Indore||27|
|Indian Institute of Management (IIM) Kozhikode||26|
|Indian Institute of Management (IIM) Lucknow||25|
|Faculty of Management Studies (FMS), Delhi University||24|
|Xavier School of Management (XLRI)||23|
Average Salary for Master of Business Administration (MBA) (Data Analytic) Graduates by Specialization
|Specialization||Average Salary (INR LPA)|
|General Data Analytics||7-9|
|Machine Learning Engineering||15-20|