MBA Business Intelligence and Analytics (Specialization in SAS)

An MBA specializing in Business Intelligence and Analytics is a focused graduate program. It gives students the capabilities to analyze data, discover valuable insights, and inform strategic choices. This is done by leveraging advanced analytical tools, technologies, and business expertise. The curriculum combines management concepts with data science, AI, and machine learning.

New graduates can consider positions such as Data Analyst, Business Intelligence Manager, Data Scientist, Analytics Consultant, Market Research Analyst, and other similar roles. Several sectors, including finance, healthcare, retail, IT, and e-commerce, are currently seeking candidates skilled in analytics and data-focused approaches.

This program offers a unique combination of business acumen and technical proficiency. Students learn to work with real-world data, master industry-relevant tools, and develop critical thinking skills, making them valuable assets for data-centric organizations. It also opens doors to high-growth career paths and leadership roles.

Entry-level salaries typically fluctuate from ₹6 LPA to ₹10 LPA. This can change based on the specific job, the sector involved, and the applicant's abilities. As experience grows, earnings in this field can increase substantially, particularly within areas such as IT, advisory, and finance.

The coursework usually encompasses topics such as Data Mining, Predictive Analytics, Business Intelligence software, Machine Learning, Big Data analysis, Financial Analytics, Marketing Analytics, Data Visualization, and Strategic Management, alongside other relevant areas.

Across all industries, the need for data-informed choices is growing. This MBA presents a future-ready career, offering possibilities in AI, machine learning, data science, and business tactics. As digital change speeds up, experts in this area will remain highly sought-after worldwide.

Manav Rachna supports placements with help from its Corporate Resource Centre. Students gain from meetings with industry professionals, internships, skill-building workshops, and campus hiring events by established companies.

The maximum salary offered fluctuates annually, but high-achieving program graduates have received offers of ₹12 LPA or higher, especially at multinational corporations and companies focused on data analysis.

Manav Rachna provides scholarships and financial assistance based on merit to eligible students. Scholarships are generally given according to academic achievement, entrance exam results, or other requirements set by the university.

You can apply online via the official Manav Rachna admissions website. Complete the application form, submit required documents, settle the application fee, and take the necessary entrance exam or attend the interview, following the admissions procedure.

To be considered for admission, you’ll need:

• A bachelor’s degree from a recognized university (in any discipline), typically with a minimum of 50% marks.

Admission is based on a composite merit score, which includes:

1. Class X marks (10%)
2. Class XII marks (10%)

To be considered for admission, you’ll need:

• A bachelor’s degree from a recognized university (in any discipline), typically with a minimum of 50% marks.

Admission is based on a composite merit score, which includes:

1. Class X marks (10%)
2. Class XII marks (10%)
3. Undergraduate marks (10%)
4. Behavior Skill Test (10%)
5. Entrance test score (25%)
6. Group Discussion or Essay (10%)
7. Personal Interview (20%)
8. Work experience and/or extracurricular activities (5%)

For the Academic Year 2025–26, the fee breakdown is as follows:

1. Tuition fee: ₹1,28,000
2. Development fee: ₹20,000
3. University fee: ₹15,000
4. Student resource fee: ₹37,100
5. Training partner fee: ₹49,000
6. Total: ₹2,49,100 for the first installment
7. Second installment: ₹1,72,000
8. Overall total: Approximately ₹4,21,100

Choosing this MBA gives you a valuable edge in today’s data-driven world. You’ll gain skills in:

• Data analysis
• Business intelligence
• Predictive modeling
• Statistical and analytical decision-making

The curriculum blends core MBA foundations with analytics tools and techniques, preparing you for strategic roles such as Business Intelligence Consultant, Data Analyst, or Analytics Manager. With business decisions increasingly fueled by data, this program bridges the gap between business insights and technology implementation.

Do I need a background in business analytics or work experience?

Background: No specific background in data science, business analytics, or computer science is required. A bachelor's degree in any field meets the eligibility criteria.

Work experience: Not mandatory—although any work experience or extracurricular achievements you have will be counted in your overall admission score (up to 5%) through the composite merit evaluation.

The program spans two years, structured into multiple semesters to cover both core management concepts and analytics specialization.

The MBA in Business Analytics at Manav Rachna University is a full-time, two-year (four-semester) postgraduate programme developed in collaboration with the Institute of Analytics (IoA), UK, and ISDC. It’s designed to blend core management knowledge with cutting-edge analytical tools—think R, Python, Tableau, plus industry-driven training. Students graduate with both an MBA degree and affiliate membership with IoA, along with a diploma from ISDC. The coursework uses a mix of hands-on labs, industry projects, case studies, and classroom instruction to build capabilities in descriptive, predictive, and prescriptive analytics.

You can choose two specializations from the following four:

• HR Analytics
• Marketing Analytics
• Finance Analytics
• Operations & Supply Chain Analytics

This dual-specialization approach gives you flexibility and depth, and you also gain an international edge with certification from IoA, UK.

To be eligible, you must hold a Bachelor's or Postgraduate degree (or have completed a final exam of ICAI, ICWAI, ICSI, or any other government-recognized equivalent) with at least 50% marks. Admission is based on scores from national-level tests like CAT, MAT, XAT (or MRNAT), plus GD/Essay, personal interview, and academic/extra-curricular record.

Duration: 2 years (4 semesters)

Intake Capacity: 60 seats per batch

While specific recruiters for this track aren’t listed on the official page, broader Manav Rachna MBA programs (with dual specializations) typically see companies such as Amazon, IBM, KPMG, EY, ICICI Bank, Indiabulls, Bank of America, Airtel, BYJU’s, Zomato, and more participating in campus placements.

You can expect roles in analytics functions across sectors like tech, finance, operations, retail, and consulting, including positions like Data Analyst, Marketing Analytics Manager, Business Intelligence Manager, and Fraud Analyst.

• Global edge: Through its tie-up with IoA, UK and ISDC, the program offers dual credentials, enhancing your global recognition.
• Tool-based learning: It emphasizes hands-on experience with tools like R, Python, Tableau, alongside Excel modeling. Many programs focus more on theory, but this one balances technical and business domains.
• Specializations: The dual-specialization model lets students tailor their learning in two functional areas—quite flexible compared to single-track programs elsewhere.
• Fee point: It appears relatively affordable (₹6–7 lakhs range) compared to other premium providers, which might charge significantly more without offering similar global tie-ups.
• Placement opportunities: With the institution’s general MBA recruiters list and focus on analytics, graduates could find strong industry entry points, especially as business analytics demand grows.