Online MBA In Data Science & Analytics
Pursue MBA in Data Science & Analytics from NIRF ranked and NAAC-accredited universities. This course gives you skills in data analysis, machine learning, and business intelligence. Take admission now to secure your future in this field.
Eligibility
Bachelor Degree
Duration
24 Months
Fees
20,000 to 43,750/-
Online MBA in Analytics and Data Science
Online MBA in Analytics and Data Science is designed for professionals who aim to harness the power of data to drive business decisions and strategies. This MBA course duration is 2 years. This specialized program blends core business management principles with advanced data science techniques, providing a comprehensive understanding of how to manage, analyze, and interpret large datasets.
Students enrolled in this program learn key subjects such as data mining, machine learning, business analytics, statistical modeling, and big data technologies. The curriculum is designed to equip students with the skills to translate data insights into actionable business strategies. Graduates of MBA in data analytics courses are well-prepared for various high-demand roles such as Data Analyst, Business Intelligence Manager, Data Scientist, and Analytics Consultant. As businesses rely more on data for decision making, the need for analytics and data science experts is growing.
Online MBA Course In Analytics and Data Science Highlights
The Online and distance MBA in Analytics and Data Science covers key skills in data analysis, machine learning, and business intelligence. Learn from experts and study at your comfort. Given below are the highlights of this course:-
| Category | Details |
|---|---|
| Course Name | MBA in Analytics and Data Science |
| Course Level | Postgraduate |
| Duration | 2 Years (divided into 4 semesters) |
| Eligibility | Bachelor degree in any discipline from a UGC recognized university |
| Course Fees | ₹ 20,000 to ₹ 43,750 per Semester |
| Key Subjects | Data Mining, Machine Learning, Business Analytics, Statistical Modeling, Big Data Technologies |
| Mode of Study | Distance Learning, Online Learning |
| Learning Method | Interactive LMS, forums, live teaching, recorded videos. |
| Top Colleges and Universities | Manipal University, Sharda University, Shoolini University |
| Average Salary | INR 5 to 12 Lakhs per annum (varies based on experience, location, and organization) |
| Top Recruiters | TCS, Infosys, Deloitte, EY, Accenture, IBM, Wipro |
| Career Opportunities | Data Analyst, Business Intelligence Manager, Data Scientist, Analytics Consultant, Operations Analyst |
Advantages of Online MBA Degree in Analytics and Data Science
Online MBA in Analytics and Data Science offers unique benefits according to modern business needs. Below are the advantages to help you see how this online course can boost your career.
- In-Demand Industry Skills - Develop critical skills in data analytics and machine learning that are widely needed in the job market.
- Flexible Study Options - Study at your own comfort, allowing you to manage your studies alongside work and other commitments.
- Strong Job Market Demand - Benefit from the increasing need for data-driven professionals across various industries.
- Variety of Career Paths - This course helps you to build career opportunities in Data Analyst, Business Intelligence Manager, and Data Scientist.
- Improved Decision-Making Abilities - Learn to turn complex data into clear business strategies, making you a key player in any organization.
- Affordable Learning - Reduce expenses associated with on-campus education while still receiving a high-quality degree.
- Expand Your Global Network - Build connections with professionals and peers worldwide, enhancing your career and gaining new insights.
Online MBA Universities/Colleges fees for MBA in Analytics and Data Science
Explore top universities offering Online/Distance MBA programs in Analytics and Data Science. Top MBA Distance Universities provide industry-relevant skills and certifications to boost your career. Check out the fees of top online and distance universities given below and choose the best fit for your goals.
University | Semester Fee | Location | Approvals & Accrediation | Advantage | Emi Available | Download Brochure |
|---|---|---|---|---|---|---|
| Manipal University | 43,750/- Semester | Jaipur, Rajasthan | UGC | NAAC A+ | Coursera Certification Access | Yes | |
| Sharda University | 25,000/- Semester | Greater Noida, Uttar Pradesh | UGC | NAAC A+ | Placement Assistance | Yes | |
| Shoolini University | 20,000/- Semester | Solan, Himachal Pradesh | UGC | NAAC | Pay After Placement | No | |
| Vignan University | 27,500/- Semester | Guntur, Andhra Pradesh | UGC | NAAC A+ | Advance Certification | Yes |
Online MBA Course in Analytics and Data Science Syllabus
| Semester 1 | Semester 2 |
|---|---|
| Introduction to Business Analytics | Advanced Business Analytics |
| Data Mining and Visualization | Machine Learning for Business |
| Statistics for Data Science | Predictive Analytics |
| Database Management Systems | Big Data Technologies |
| Principles of Management | Operations Analytics |
| Marketing Analytics | Financial Analytics |
| Business Communication | Data-Driven Decision Making |
| Elective Course 1 (e.g., Python for Data Science) | Elective Course 2 (e.g., Data Ethics and Privacy) |
| Semester 3 | Semester 4 |
|---|---|
| Artificial Intelligence in Business | Strategic Management and Analytics |
| Deep Learning Applications | Capstone Project/Thesis |
| Marketing and Consumer Analytics | Business Intelligence and Data Warehousing |
| Supply Chain Analytics | Data Governance and Security |
| Data Visualization Techniques | Advanced Predictive Modeling |
| Financial Risk Analytics | Cloud Computing and Data Management |
| Elective Course 3 (e.g., R Programming) | Elective Course 4 (e.g., Blockchain and Analytics) |
| Industry Internship/Project | Final Presentation and Viva |
Online and Distance MBA Fees in Analytics and Data Science Specialization
The fees for an Online and Distance MBA in Analytics and Data Science specialization can vary depending on the university and the program structure. The cost is influenced by factors such as the program duration, the university reputation, and the resources provided, such as access to online learning platforms, study materials, and support services.
Fee Range: INR 20,000 to INR 43,750 per Semester
Some universities offer more affordable online MBA fees, while others charge higher fees for advanced curriculum and faculty expertise. Students should carefully choose the MBA course according to their goals.
Online MBA Admission Requirements for MBA in Analytics and Data Science
Online MBA admission requirements for an MBA in Analytics and Data Science vary by university. These programs are designed for professionals seeking to advance their careers. Ensure you meet the criteria to maximize your application success. Here are the general requirements:-
1. Academic Qualifications:
- Bachelor’s degree: A bachelor degree in any discipline with minimum 50% marks from a recognized university is required. Some programs may prefer candidates with a science, technology, engineering, mathematics (STEM), or business background.
2. Work Experience (Optional)
- Not Required: Prior work experience is not required for distance and online MBA data analytics and data science courses.
3. Application Process
- Online Application: Applicants complete and submit the online application form through the university official website. The form requires providing personal details, academic history, and professional experience.
- Required Documents: Applicants must upload necessary documents, including:-
- 10th, 12th, and graduation mark sheets
- ID proof
- Other relevant certificates
Career Scope After Online and Distance MBA Courses in Analytics and Data Science
The career scope after completing Online and Distance MBA in Analytics and Data Science is vast and promising. The growing reliance on data driven decisionmaking makes this degree highly valuable. Graduates can pursue a variety of high-demand roles across different industries. With skills in analytics and data science, they are well-prepared to work in finance, healthcare, marketing, and technology sectors. Companies are actively seeking professionals who can turn data into actionable insights. Here are the some of the career options:
- Data Analyst: - Analyze complex data sets to identify trends, practices, and insights that can drive business decisions. The average salary for a Data Analyst ranges from ₹4 to ₹10 LPA.
- Business Intelligence Manager: - This person oversees the development and management of data-driven strategies, helping organizations make informed decisions. Salaries for Business Intelligence Managers range between ₹10 and 25 LPA.
- Data Scientist: - Use advanced analytical techniques and machine learning models to solve complex business problems and predict future trends. Data Scientists earn between ₹8-20 LPA, depending on experience.
- Analytics Consultant: - Provide expert advice to organizations on how to leverage data analytics to improve operations and achieve strategic goals. Analytics Consultants can expect salaries ranging from ₹7-18 LPA.
- Big Data Analyst: - Specialize in handling and analyzing large volumes of data, helping businesses make sense of vast amounts of information. The salary range for Big Data Analysts is between ₹6-16 LPA.
- Operations Analyst: - Optimize business processes and operations using data-driven insights to improve efficiency and effectiveness. Operations Analysts earn between ₹5-12 LPA.
- Marketing Analyst: - This position focuses on analyzing consumer data and market trends to develop targeted marketing strategies. Marketing Analysts can expect salaries in the range of ₹4-10 LPA.
Other In-Demand Online and Distance MBA Specialisation
How to Apply for an Online and Distance MBA in Analytics and Data Science?
Registration and Accessing the Application Portal
Click on the “Apply Now” button given at the bottom of the page. After this, you will be directed to a form where you have to fill in information and select the desired course.
Consultation with an Expert Counselor
After you submit your initial application, an expert counsellor will contact you. This consultation will help you choose the right course and university based on your interests and career goals. The counsellor will also be available to answer any questions you have.
Complete the Admission Application
You'll receive an email from the university side with further instructions. Fill out the detailed admission form in the email, ensuring all information is accurate. Then, upload the necessary scanned documents, such as educational certificates, to support your application.
Make an Online Payment
Proceed to pay the application fee securely through the university’s online portal. Once your payment is processed, you can upload additional documents like mark sheets and passport-sized photos through the document upload feature.
Receive Admission Confirmation
The university will send you a confirmation email and SMS upon submitting your application and all required documents. This message will include your login credentials for the Learning Management System (LMS), where you can access your course materials and start your learning
FAQ's | Frequently Asked Questions
MBA in Analytics and Data Science combines business management with advanced data analysis techniques, preparing graduates to make data-driven decisions in various industries.
Yes, an MBA in Analytics and data science is highly valuable. It equips you with in-demand skills for a growing field, leading to diverse and better career opportunities.
The scope is broad, with opportunities in roles like Data Analyst, Business Intelligence Manager, and Data Scientist across industries such as finance, marketing, and technology.
The salary for MBA graduates in Data Science and Analytics ranges from 8 to 20 LPA, depending on experience, role, and location.
The best MBA specialization depends on your career goals, but popular options include Finance, Marketing, Analytics, and IT Management, each offering strong career opportunities.