Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management After Graduation: Eligibility, Fees & Career Scope

A graduate interested in data analytics usually has two questions at the start: Do I need a technical degree, and will the course teach enough business to make the analytics useful? A specialised PGDM can address both sides when the curriculum combines data tools with management subjects.

The Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management at AIDTM is designed for graduates from different academic backgrounds. It is a two-year full-time, AICTE-approved programme with an approved intake of 90 for 2027–29.

For someone comparing a Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management programme after graduation, the details that matter are eligibility, entrance exams, subjects, internship structure, total fee, and the kind of roles graduates move into.

Key Takeaways

• AIDTM’s Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management is a two-year full-time AICTE-approved programme with 90 approved seats for 2027–29.
• Graduates from recognised universities can apply with at least 50% marks, or 45% for reserved categories, subject to current admission rules.
• CAT, XAT, CMAT, GMAT, MAT and ATMA are among the accepted national-level entrance tests.
• The 2027–29 programme fee is Rs. 10 lakh, with an additional refundable caution deposit of Rs. 50,000.
• The course includes SQL, Python, statistical learning, machine learning, data visualisation, management subjects, a five-month summer internship and a five-month industry project.

Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management at a Glance

Who Can Apply After Graduation

The Big Data Analytics programme is open to graduates rather than being restricted to engineering or computer-science degrees.

A bachelor’s degree from a recognised university is required, with at least 50% marks. The current eligibility gives a 45% threshold for reserved categories. Final-year students can also apply, subject to completing the graduation requirement.

A commerce graduate may already understand finance and business processes. A BCA graduate may be more comfortable with software. An engineer may bring stronger quantitative habits. The programme then asks each student to build the skills they do not already have.

Entrance Exams and Selection Process

AIDTM accepts valid national-level scores from CAT, XAT, CMAT, GMAT, MAT and ATMA under the current admission rules.

The entrance score is part of the selection process rather than the only factor. Applicants should read the admission policy for their batch because weightages and selection stages can change.

Final-year students are eligible to apply. Work experience is not compulsory, so fresh graduates and applicants with professional experience can both enter the process.

What Students Learn in the Programme

The curriculum combines analytics, technology and management.

Core subjects currently listed for Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management include Data Analysis using SQL, Python for Data Science, Statistical Learning, Enterprise Data Visualisation, HR Analytics, Data-Driven Decision Making, Fundamentals of Finance, Marketing Management, Cloud Computing, NoSQL Database, Deep Learning and topics in cyber security and fraud detection.

The combination matters. SQL helps students retrieve structured data. Python is used for analysis and modelling. Visualisation turns findings into something a manager can interpret. Finance and marketing subjects explain why the analysis is being done in the first place.

AIDTM also uses case discussions, presentations, group exercises, simulations, projects and industrial visits within the programme pedagogy.

Management Learning Alongside Analytics

Students sometimes assume that an analytics course should contain only coding and statistics. In a management programme, that would leave a gap.

An analyst may need to explain why customer churn increased, which region is missing a sales target or whether a credit-risk model is useful enough for a business decision. The software can produce an output, but someone still has to frame the problem and explain the result.

That is why management subjects matter. Finance, marketing, communication and decision-making help students connect the data to an organisation’s priorities.

This is especially useful for non-technical graduates. A B.Com or BBA student can add technical tools to an existing understanding of business. Technical graduates can strengthen the management side of their profile.

Summer Internship and Industry Project

The programme includes industry exposure across both years.

AIDTM’s current admissions material highlights a summer internship and a five-month capstone or industry project. The programme page also mentions independent projects and seminars.

These experiences are useful because analytics interviews often move quickly from theory to examples. A recruiter may ask what dataset the student worked with, how missing values were handled, what metric was chosen or why one visualisation communicated the result better than another.

Students should use the internship to build a clear project story. The strongest explanation is usually simple: what was the problem, what data was available, what did you do, and what changed because of the analysis?

Tools and Technical Skills

AIDTM’s published curriculum gives students exposure to several tools and methods used in analytics work.

SQL is central because many organisations still store large amounts of structured information in relational databases. Python is widely used for data preparation, analysis and machine learning. Excel remains common for quick analysis and business reporting.

Data visualisation is another core skill. A model can be technically sound and still fail to influence a decision if the result is poorly explained.

Cloud Computing and NoSQL Database topics introduce students to data environments beyond a single desktop or traditional relational database. Deep Learning and machine-learning subjects add a more advanced layer.

Career Scope After Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management

Analytics roles now appear across banking, consulting, e-commerce, manufacturing, telecom, healthcare, retail, insurance, IT and other sectors.

AIDTM lists career directions including Data Analyst, Big Data Analyst, Business Intelligence Analyst, Analytics Associate, Analytics Manager, Data Consultant, Data Manager and Big Data Engineer.

A graduate’s first role depends on the prior degree, technical depth, internship, projects and recruitment opportunities. The PGDM does not place every student into the same kind of analytics job.

Career Roles and Skills to Build

• Data Analyst: SQL, Excel or Python, data cleaning, reporting and clear interpretation.
• Business Intelligence Analyst: dashboards, KPIs, data visualisation and stakeholder communication.
• Business Analyst: requirement gathering, process understanding and data-backed recommendations.
• Data Consultant: analysis combined with problem framing and client communication.
• Big Data Engineer: data pipelines, databases, distributed systems and stronger technical depth.
• Risk Analyst: quantitative analysis, financial understanding and risk interpretation.

Students should look at current job descriptions while they study. The tools listed in entry-level roles are a useful reality check against the curriculum.

Fees for the 2027–29 Batch

The current AIDTM admission page publishes a total two-year programme fee of Rs. 10 lakh, plus a refundable caution deposit of Rs. 50,000.

The admission policy notes that the programme fee includes study materials, books, library and internet charges. Hostel, mess and other living expenses are separate.

Students should compare the total programme cost with their budget rather than judging affordability from the first payment alone.

Placement Information and How to Read It

Placement figures need context because they describe a particular batch.

AIDTM’s current admissions material reports 100% placements, an average CTC of Rs. 8 LPA and a highest CTC of Rs. 20 LPA. The 2027 mandatory disclosure also lists 100% students placed and an average pay package of Rs. 8 lakh per year for PGDM.

Recruiters shown across AIDTM materials include Adani, EY, KPMG, Deloitte, Infosys, TCS, Wipro, CRISIL, HDFC, Dell, Tech Mahindra and Tiger Analytics, among others.

These are institute-published figures. Applicants should ask for the most recent placement report available when they apply and look at role titles as well as salary figures.

PGDM vs a Short Data Analytics Course

A working professional who only needs SQL or Power BI may prefer a targeted course. A fresh graduate seeking management learning, internship experience and campus recruitment may prefer a full-time PGDM.

A Checklist Before Applying

1. Confirm AICTE approval for the current academic year.
2. Read the live eligibility and accepted entrance-test list.
3. Check whether your bachelor’s degree background is eligible.
4. Review the actual subjects instead of relying on the programme title.
5. Look at internship and capstone duration.
6. Ask for the latest placement report and role list.
7. Compare the complete two-year fee, including living costs if you will relocate.
8. Speak to current students or recent graduates about projects, teaching and recruiter expectations.

Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management at AIDTM

AIDTM is based in Gandhinagar, Gujarat, and was established in 2020 with programmes focused on Big Data Analytics and AI & Data Science.

The Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management is AICTE approved, runs for two years full-time and has an approved intake of 90 for 2027–29. The curriculum combines management subjects with SQL, Python, statistical learning, machine learning, visualisation, cloud and database topics.

The 2027–29 admission cycle is open, with a published programme fee of Rs. 10 lakh plus a refundable Rs. 50,000 caution deposit.

For graduates considering the programme, the strongest next step is to compare the live admission policy, current curriculum, internship structure and latest placement information together.

The Bottom Line

A PGDM in Data Analytics is a serious time and financial commitment, so the programme should match the kind of work the student wants after graduation.

At AIDTM, the Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management combines management learning with data tools, internship exposure and a five-month industry project. Graduates from varied academic backgrounds can apply under the current eligibility rules.

Applicants for the 2027–29 batch should use the current AIDTM admission page for entrance-test requirements, fee dates and any updates before submitting the application.

FAQs

Can a B.Com graduate apply for Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management?

Yes. The current AIDTM eligibility for Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management accepts graduates from recognised universities who meet the minimum marks and entrance-test requirements. A technical undergraduate degree is not mandatory for this programme.

Which entrance exams are accepted for AIDTM Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management?

The current admission information lists CAT, XAT, CMAT, GMAT, MAT and ATMA, subject to the applicable admission policy for the batch.

What is the AIDTM Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management fee for 2027–29?

The published two-year programme fee is Rs. 10 lakh. A refundable caution deposit of Rs. 50,000 is payable with the first instalment, taking the published payment total to Rs. 10.5 lakh including the deposit.

Is work experience required for the programme?

No. Work experience is not mandatory under the current eligibility rules. Fresh graduates can apply, while relevant work experience may add context to the applicant’s profile.

What jobs can students pursue after Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management?

Possible roles include Data Analyst, Business Intelligence Analyst, Business Analyst, Data Consultant, Risk Analyst, Analytics Associate, Analytics Manager and Big Data Engineer. The role depends on the student’s technical skills, projects, prior education and recruitment opportunities.