IPE Hyderabad PGDM Business Analytics: Fees 2026, Course Duration, Dates, Eligibility

Shamirpet, HyderabadEstd 1964 Osmania University, Hyderabad
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Collegedunia Team

Content Curator | Updated on - Mar 23, 2026

IPE Hyderabad's Post Graduate Diploma in Management (Business Analytics) is an AICTE-approved, two-year full-time specialized program designed to develop data-driven management professionals with expertise in advanced analytics, machine learning, and business intelligence. The program spans six trimesters with a total fee of Rs 8,15,000 (including hostel and other charges). The primary entrance exams accepted are CAT, XAT, GMAT, CMAT, MAT, and ATMA. The program has a total intake of 60 seats. The course is offered in full-time on-campus mode and is highly popular for its cutting-edge curriculum covering data science, artificial intelligence, and predictive analytics, combined with strong industry demand for analytics professionals.

Admissions for Batch 2026-28 are currently open. The application process follows the standard IPE admission timeline with applications accepted on a rolling basis. Shortlisted candidates will be invited for group discussion and personal interview. The program typically commences in July 2026. Candidates are encouraged to apply early as the program is newly launched and highly competitive based on academic merit and analytical aptitude.

Key Points:

  • Specialized curriculum covering data science, machine learning, artificial intelligence, and predictive analytics with hands-on training in Python, R, SQL, and SAS
  • Strong emphasis on practical application of analytics techniques to solve real-world business problems across finance, marketing, operations, and HR domains
  • Access to advanced analytics tools and software including Python, R, SAS, Tableau, and business intelligence platforms
  • Industry-focused learning with case studies, live projects, and collaboration with leading analytics companies and consulting firms
  • Comprehensive coverage of big data technologies, IoT data management, cloud computing, and blockchain applications in business
  • Summer internship program (8 weeks) providing practical experience in analytics roles with leading companies
  • Dual specialization options allowing students to combine analytics with finance, marketing, operations, HR, or other functional areas

IPE Hyderabad Latest Updates and News

18 Mar, 2026 IPE Hyderabad PGDM Admission 2026-28 is open. Apply @ipeindia.org till Mar 29, 2026 (extended). Apply Now!. The online PI is scheduled for Mar 31, 2026.

12 Mar, 2026 ATMA 2026 (May session) Registration is open till April 21, 2026, for admission to MBA, MMS, PGDM & MCA programs. The Exam will be held on May 3, 2026. Read more.

07 Nov, 2025 IPE Hyderabad PGDM Business Analytics Fee Structure 2026-28 has been released. The total academic fee is ₹ 9.15 Lakhs. Read more.

IPE Hyderabad Important Events

PGDM1

IPE PGDM (BA) Fees

The total fees for the two-year PGDM (Business Analytics) program (Batch 2026-28) is Rs 8,15,000, which includes tuition fees, IT equipment and computing facilities, library resources, student academic activities, and other charges. The fee structure is divided into two annual payments. The first year fee is Rs 5,15,000 (including admission fee of Rs 50,000, tuition fee of Rs 3,10,000, IT and other facilities of Rs 1,40,000, and refundable caution deposit of Rs 15,000). The second year fee is Rs 4,00,000 (including tuition fee of Rs 3,10,000 and IT and other facilities of Rs 90,000).

Fee Structure

Fee ComponentYear 1Year 2Total
Admission Fee50,000-50,000
Tuition Fee3,10,0003,10,0006,20,000
IT Equipment, Computing & Internet Facilities, Library1,40,00090,0002,30,000
Refundable Caution Deposit15,000-15,000
Total Fees5,15,0004,00,0009,15,000
  • The caution deposit of Rs 15,000 is fully refundable at the end of the program.
  • Hostel fees are additional and optional (Rs 1,20,000 per year for double occupancy including food).
  • Transportation fees are additional (Rs 45,000 per year).
  • Scholarships are available for eligible candidates based on entrance exam performance and academic background.
  • The institute offers education loan facilities through tie-ups with multiple banks.

Fee as per official website :

Fee for International Students as per official Website :

IPE PGDM (BA) Admission 2026

IPE Hyderabad follows a merit-based admission process for its PGDM (Business Analytics) program. The selection is based on academic excellence, performance in entrance exams (CAT/XAT/GMAT/CMAT/MAT/ATMA), past academic record, work experience (if any), and performance in group discussion and personal interview. The institute seeks candidates with strong analytical abilities, quantitative aptitude, and interest in data-driven decision-making. The admission process is transparent and student-friendly, designed to identify candidates with potential to excel in analytics roles.

Important Dates

EventDate
XAT 2026 ExamJanuary 4, 2026
CMAT 2026 ExamJanuary 25, 2026
IPE PGDM Application OpensJanuary 2026
IPE PGDM Application DeadlineFebruary 2026
Group Discussion and Personal InterviewFebruary-March 2026
Admission OffersMarch-April 2026
Program CommencementJuly 2026
CAT 2026 Exam (for future batches)November 30, 2026
The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Bachelor's degree with minimum 50% aggregate marks (45% for SC/ST/PC candidates) from a UGC recognized university
  • Valid scores from CAT (2025), XAT (2026), GMAT, CMAT (2026), MAT, ATMA, or any other entrance exam approved by AICTE
  • Strong quantitative and analytical aptitude demonstrated through academic record
  • Work experience is not mandatory but candidates with relevant experience receive additional weightage

Admission Process

  • Submit completed application form with all required documents including academic transcripts and entrance exam scores
  • Upload supporting documents including academic certificates and entrance exam score card
  • Shortlisted candidates will be invited for group discussion and personal interview
  • Group discussion will assess analytical thinking, communication skills, and ability to work in teams
  • Personal interview will evaluate technical aptitude, interest in analytics, and career goals
  • Final admission offers will be announced based on overall evaluation of academic credentials, entrance exam scores, GD/PI performance, and work experience

IPE PGDM (BA) Scholarships 2026

IPE Hyderabad offers multiple scholarship schemes to support meritorious and deserving students in the PGDM (Business Analytics) program, making quality management education more accessible. These scholarships are awarded based on entrance exam performance, academic excellence, and specific criteria, with disbursement occurring after the candidate joins the campus and completes initial fee payments.

Scholarship Details

Scholarship TypeEligibility CriteriaBenefitTotal Payable Fees
Merit Scholarship (General)80+ percentile in CAT/XAT; GMAT 700+ (10th edition)2,00,0007,15,000
Merit Scholarship (General)70-79.99 percentile in CAT/XAT; GMAT 650-6991,00,0008,15,000
Merit Scholarship (OBC)70+ percentile in CAT/XAT; GMAT 700+2,00,0007,15,000
Merit Scholarship (SC/ST)70+ percentile in CAT/XAT; GMAT 700+2,00,0007,15,000
Tuition Fee Waiver (TFW)Up to 5% of approved intake per AICTE guidelines100% academic fee waiver + Rs 12,000/month for amenities2,89,200
  • Candidates eligible for multiple scholarships must choose one.
  • The scholarship decision is final and binding.
  • Scholarships are disbursed after the candidate joins campus and pays the required fees.
  • The institute also has tie-ups with multiple banks for education loan facilities to support student financing.

IPE PGDM (BA) Placement 2026

IPE Hyderabad's PGDM (Business Analytics) program has strong placement outcomes with consistent industry engagement and excellent career opportunities for analytics graduates. The program attracts leading recruiters from IT services, consulting, financial services, and analytics companies seeking skilled data professionals.

Placement Statistics

Placement MetricStatus
Program Launch Year2024-25 (Newly Launched)
Intake60 seats
Industry FocusIT Services, Consulting, Financial Services, Analytics Companies
Key RecruitersTCS, Cognizant, Deloitte, KPMG, Capital First, Axis Bank, SBI Life Insurance, Franklin Templeton, ICICI Securities
Placement RolesData Analyst, Business Analyst, Analytics Consultant, Data Scientist, Business Intelligence Developer, Risk Analyst
Average PackageExpected to be competitive based on analytics industry standards

The program attracts leading recruiters from IT services (TCS, Cognizant, Accenture), consulting (Deloitte, KPMG, Bain & Company), financial services (Axis Bank, ICICI Securities, Franklin Templeton), and specialized analytics companies. Analytics graduates receive targeted placement support with roles spanning data analysis, business intelligence, predictive modeling, and data science. The summer internship program (8 weeks after first year) serves as a strong pipeline for pre-placement offers, with students gaining practical analytics experience and developing industry-relevant skills.

IPE Hyderabad PGDM Business Analytics Ranking

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IPE PGDM (BA) FAQs

Ques. What is the difference between PGDM (Business Analytics) and PGDM (Core) with Analytics as a specialization?

Ans. PGDM (Business Analytics) is a focused program with mandatory specialization in analytics, providing deeper and more comprehensive exposure to data science, machine learning, and advanced analytics techniques. PGDM (Core) with Analytics as a specialization offers more flexibility to choose electives from other functional areas. If you're committed to an analytics career and want specialized expertise in data science and AI, PGDM (Business Analytics) is ideal. If you want to keep options open or combine analytics with another domain, PGDM (Core) is better.

Ques. What programming languages and tools are covered in the PGDM (Business Analytics) program?

Ans. The program provides comprehensive training in Python, R, SQL, SAS, Tableau, and other business intelligence tools. Students learn data manipulation, statistical analysis, machine learning, and data visualization using these tools. The curriculum includes hands-on projects and case studies using real-world datasets, ensuring students develop practical proficiency in industry-standard analytics tools.

Ques. What career opportunities are available after completing PGDM (Business Analytics)?

Ans. Graduates can pursue diverse analytics roles including Data Analyst, Business Analyst, Analytics Consultant, Data Scientist, Business Intelligence Developer, Risk Analyst, and Financial Analyst. Opportunities exist across IT services, consulting firms, financial institutions, e-commerce companies, and specialized analytics firms. The program prepares students for both corporate analytics roles and entrepreneurial ventures in the analytics domain.

Ques. Is the PGDM (Business Analytics) program suitable for non-technical backgrounds?

Ans. Yes, the program is designed for students from diverse educational backgrounds. While quantitative aptitude is important, the program provides foundational training in statistics, programming, and analytics concepts. Students from commerce, humanities, and other non-technical backgrounds with strong analytical thinking can succeed in the program.

Ques. What is the summer internship experience like for PGDM (Business Analytics) students?

Ans. The 8-week summer internship program after the first year provides practical analytics experience with leading companies. Students work on real data analysis projects, develop predictive models, and create business intelligence solutions. Many internships convert to pre-placement offers (PPOs), providing direct pathways to employment with top analytics companies.

Ques. How does the program prepare students for emerging technologies like AI and machine learning?

Ans. The program includes dedicated courses on machine learning, artificial intelligence, deep learning, and predictive analytics. Students learn to build and deploy machine learning models, work with neural networks, and apply AI techniques to business problems. The curriculum is regularly updated to include emerging technologies like blockchain, IoT data management, and cloud computing for analytics.

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