MBA in Data Science: Course Details, Eligibility, Admission, Fee, Jobs

What is an MBA in Data Science?

An MBA in Data Science is a specific degree designed for students looking for comprehensive education that sets them up to harness the power of data for strategic decision-making in the business world. The program ordinarily incorporates a core set of business courses covering essential areas such as finance, marketing, operations, and strategy. Nonetheless, what separates an MBA in Data Science is its emphasis on particular coursework related to data analytics. Students learn about the topics, such as, data mining, machine learning algorithms, statistical modeling, and predictive analytics, gaining hands-on experience through real-world projects and case studies.

The MBA ESG in Data Science and Artificial Intelligence program is designed to simplify the process for non-experts while empowering experts to differentiate their range of skills in the technology sector. The center of the course combines immersive scientific learning, top-to-bottom tech information, and practical managerial projects. It is creating a specialized program that equips students with fundamental skills to emerge as industry-leading specialists and experts in the powerful fields of data science and artificial intelligence.

Highlights About the MBA in Data Science

Integration of Business and Data Science: MBA in Data Science programs typically integrate business and management courses with specialized training in data science and analytics.
➢ Core business courses include accounting, finance, marketing, strategy, and operations management.
➢ Data science courses include statistics, machine learning, data mining, data visualization, big data analytics, and predictive modeling.
➢ Electives may allow students to tailor their studies to specific industries or areas within data science.
Faculty Expertise: Programs are often taught by faculty members with expertise in both business and data science, providing a multidisciplinary perspective. Up to 20% of teaching is done by international faculty, guaranteeing a worldwide viewpoint in the program.
Networking Opportunities: Business schools usually provide ample networking opportunities, connecting students with professionals, alumni, and companies in both business and data science.
Global Perspective: Many MBA programs have an international focus, exposing students to global business trends and challenges related to data science.
MBA ESG Advantage: Enjoy a special educational opportunity with a 15-day visit to Paris, provided by the program. This experience gives a top-to-bottom comprehension of French industry and culture, enriching the general growth opportunity.

Eligibility Criteria

Each college and university establish its minimum eligibility criteria for courses. The common minimum requirements are:
● Should have graduated from any stream.
● Should not have any current backlog.
● Should pass with at least 50% in graduation.
● Work experience can strengthen the relevance of your application, although it is not a compulsory requirement across various institutions.

Entrance Exams

Most colleges and universities conduct direct placement tests to evaluate the qualifications and capabilities of students.
To be qualified for the entrance exam prompting a MBA in Data Science, candidates should have successfully completed a bachelor’s degree. Applicants are expected to take either the CAT, GMAT, or an entrance exam specific to the institution.
For admission to MBA programs at MBA ESG, prospective students should go through the ADYPU – Nuovos PGAT (ADYPU Entrance Test) aptitude test as a compulsory part of the admission process.

Admission Process

● Completion of an undergraduate degree with a minimum academic performance record.
● Candidates are required to complete the online application form for courses or programs through the official website of the college.
● They must adhere to the predetermined criteria specified by the institution.
● Following the entrance exam, the institution conducts an interview as part of the final selection process.
● Submission of fees is required once the institution has chosen the candidate for admission.

MBA in Data Science Fees

When applying for MBA in Data Science colleges of India, the fee structure involves:
● The course fee amounts to INR 10,00,000 for a duration of two years.
● The supplementary expenses for essential items like books, study materials, library access, and more may range from an average of 20,000 INR to 1,00,000 INR as a one-time expenditure.
● Students have the option to seek scholarships provided by the MBA institution of their preference.
Costs vary between colleges based on factors like location, facilities, and academic environment. The candidate should review everything to make informed decisions.

Top Colleges for MBA in Data Science in India

Here are the top MBA in Data Science colleges in India:

1) MBA ESG for Data Science

The MBA ESG program in Data Science and Artificial Intelligence caters to both non-trained professionals and trained professionals, offering a distinctive trifecta approach that integrates scientific learning, technical expertise, and managerial skills through hands-on projects. Designed to shape students into leading specialists, the program includes a diverse curriculum, an industry-aligned course structure, and open doors for international certificates.

2) Jain University
3) Indian Institute of Management, Bangalore (IIMB)
4) Indian School of Business (ISB), Hyderabad
5) Indian Institute of Technology. Madras (IITM)
6) Great Lakes Institute of Management, Chennai

MBA in Data Science Skills Required

● Understanding of business principles and strategy to apply data insights effectively.
● Strong analytical and critical thinking skills for interpreting and drawing insights from data.
● Knowledge of working with data, including large datasets and data visualization tools.
● Effective communication of data-driven insights to both technical and non-technical stakeholders.
● Ability to lead and manage teams involved in data science projects.
● Familiarity with machine learning concepts and statistical methods.
● Awareness of ethical considerations in data usage and privacy.

MBA Data Science Syllabus

MBA in data science subjects encompass essential topics crucial for a comprehensive understanding of the field. While curriculum designs vary across institutes, here are the semester topics of the Data Science MBA Syllabus.

Semester 1: Business Economics, Marketing Management, Organizational Behavior, Financial Accounting, Business Statistics, Business Communication, Design Thinking, Python Programming.

Semester 2: Business Law, Business Research Methods, Financial Management, Human Resource Management, Management Information System.
Electives: Data Management, Excel for Business, Artificial Intelligence, Database Management Systems (DBMS).

Semester 3: Operations Management, Project Management, Corporate Governance.
Electives: Data Warehousing and Mining, Programming with R, Machine Learning, Big Data Analytics, Natural Language Processing.

Semester 4: Entrepreneurship Development, Strategic Management.
Electives: Data Science, Cloud Computing, Deep Learning, Data Visualization through Tableau, Digital and Social Media Analytics

Career Scope for MBA Data Science in Future

The future career prospects for individuals with an MBA in Data Science are highly promising due to the increasing demand for professionals who can integrate business acumen with data science skills. As organizations undergo digital transformations and generate massive datasets, these graduates are well-suited to drive innovation and gain a competitive edge. With the integration of AI and machine learning, their role extends to enhancing operational efficiency. Opportunities span industry-specific applications, risk management, compliance, entrepreneurship, and consulting, providing a diverse range of career paths with global implications. The MBA in Data Science equips individuals to navigate this dynamic landscape, emphasizing continuous learning and adaptability for sustained success.

Job Opportunities After MBA in Data Science

An MBA in Data Science essentially extends career opportunities, equipping individuals with a flexible range of skills that are profoundly pursued across different businesses. The interdisciplinary idea of this degree allows experts to overcome any barrier between business methodology and the latest data analytics, cultivating their capacity to drive advancement and add to the success of organizations. This flexibility positions individuals to explore dynamic job markets and succeed in positions requiring a strategic mix of business sharpness and high-level data expertise.
After completing an MBA in Data Science, graduates can explore a variety of job opportunities. Some prominent MBA data science jobs include:
● Data Scientist/Analyst

● Business Intelligence (BI) Analyst/Consultant

● Data Manager

● Machine Learning Engineer

● Predictive Modeler

● Quantitative Analyst

● Data Product Manager

● Business Analytics Manager

● Risk Analyst/Manager

● Supply Chain Analyst

● Marketing Analyst/Manager

● Healthcare Data Analyst/Manager

● Financial Analyst/Manager

● Operations Analyst/Manager

● Customer Insights Analyst

● E-commerce Analyst/Manager

● Consultant (Data Science)

MBA in Data Science Salary

For entry-level interns, the MBA in Data Science salary in India normally ranges from ₹1.8 to ₹11.3 LPA. Those in leadership roles, such as lead data scientists, can expect to earn a yearly salary going from ₹24 lakhs to ₹1 crore in India.

MBA Data Science FAQs

Is an MBA in Data Science Worth It?

An MBA in Data Science is worthwhile for its remarkable mix of technical and managerial skills, making graduates flexible and sought-after experts. The program’s far-reaching approach ensures a balanced range of skills, situating individuals for leadership roles. Networking opportunities further upgrade career possibilities in the powerful field of data science, making it a significant investment for future success.

What is the MBA Data Science Duration in India?

The MBA Data Science duration in India is two years, comprising four semesters. In some cases, a few institutes might offer speed-up or part-time projects that have different timelines. It can vary across different educational institutions.

What are the Top MBA Data Science Recruiting Areas?

The demand for MBA graduates with ability in Data Science is on the ascent, and they are pursued in various industries. Some of the top recruiting areas for data science MBA jobs include Technology and IT Consulting, Finance and Banking, Healthcare, E-commerce and Retail, Manufacturing and Supply Chain, Telecommunications, Marketing and Advertising, Energy and Utilities, Consulting, Government and Public Sector, etc.

What Do You Study in Data Science?

Over the course of two years in the MBA ESG in Data Science program, students immerse themselves in practical projects to acquire a thorough comprehension of data science.
● Learn fundamental concepts for data analysis, including statistics, probability, and mathematical principles.
● Acquire skills in preprocessing and cleaning information, resolving issues like missing values and outliers.
● Concentrate on directed and solo learning, classification, regression, clustering, and model evaluation techniques.
● Apply acquired skills to real-world scenarios through practical projects, demonstrating proficiency to possible managers.