Post Graduate Diploma in Management (Big Data Analytics) is an *AICTE approved Two-Year Full-Time programme at Asia Pacific Institute of Management New Delhi.
Data analytics for businesses is given importance throughout the programme. Students will be trained to core managerial concepts, Big Data, data-driven decision making, learning through case studies, hands-on experience to handle various analytical software and toolsfor data visualization, reporting, data manipulation, and statistical analysis. Through this program, the participantswill learn the skills, technologies, applications, and processes to be ready for industry to work as business analysts and data scientists.
*Applied for approval to AICTE for 2022-24 session, Approval Awaited
The PGDM-BDA program will expose students to statistical concepts, data management, analysing big data, and building intelligent systems using emerging technologies like artificial intelligence, machine learning, deep learning, blockchain and related tools, techniques, and algorithms.
In today’s globalized business environment, data is becoming important part of strategy and decision making from board room to local shop floor. Themajor emphasis will be on providing hands-on training to the students using all major software tools in vogue and working on actual industry projects.
The PGDM-BDA program is a job-oriented demanding program which enhances the career prospects of the students.
The instructional methodology comprises an optimum mix of Synectics, Brainstorming, lectures, classroom discussions, case studies, simulations, role-plays, group discussions, sessions from industry professionals and trade, management games, sensitivity training, management films, industrial visits, and industry interaction. Students are encouraged to present their case analysis through written case reports, individual or group presentations.
In two years of the programme, students must undergo both core and elective courses. These courses are an eclectic mix of foundational, perspective building, tools, and techniques oriented, and functional courses. The core courses provide rigorous grounding in the discipline of management and the understanding of business in multidimensional context. The core courses are taught in the First year, which is divided into three Terms (a Term is typically of 10 weeks of classes and at most 2 weeks of examinations). Elective courses begin from Term-3 onwards. Thus, while Term-1 and Term-2 have only core courses, Term-3 have both core and elective courses. The elective courses allow students to choose and develop proficiency in their Area of Specialization.
The Programme structure and credit of Post Graduate Diploma in Management (Big Data Analytics) is designed as per AICTE. The concept of credits is used to indicate the number of in-class contact hours in a course, and thus to define the weight age of a course. One credit equals 10 in-class contact hours. The rule of the thumb is that a 3.0 credit course involves around 100 hours of work with 30 hours in the classroom, and the rest for preparation and assignments
The students are required to complete 102 credits (in total) for the award of Post Graduate Diploma in Management (Big Data Analytics). Out of the required credits, 90 credits come from classroom teaching and the balance 12 credits from summer internship & Project work on Big Data Analytics. The students are expected to become Data Analytics professional as an outcome of the course
The eligibility criteria are as follows-
Candidates interested in applying for this program are requested to note the following-
Institute reserves the right to cancel the same in a pandemic like situation.
Note: In case of a dispute, the jurisdiction would be Delhi only.
The admission fee can be paid using either of these methods- Credit Card/ Debit Card/ Net Banking through a special dedicated and fully secure gateway to remove any glitches during payment process.
The admission fee can be paid using either of these methods- Credit Card/ Debit Card/ Net Banking through a special dedicated and fully secure gateway to remove any glitches during payment process.
In case of any difficulty, the candidates may contact admission office through email id admission@asiapacific.edu
2 years full time Programme | Batch 2022-24 | Academic Fee to be Paid
(*Approved by All India Council for Technical Education, Ministry of Education, Govt. of India)
*Applied for approval to AICTE for 2022-24 session, Approval Awaited
Note: Each student is required to pay Refundable security deposit of Rs.10, 000/- (payable at the time of registration) in addition to the total fees, which will be refunded after the completion of the PGDM-BDA program.
Cost of application form: Rs.1000/-
Fee Composition: Tuition fee, Library Charges, Computer Lab, Internet Charges, books and fee for other activities such as Placement activities, Seminars, Workshops, Conferences, etc.
Fee Payment Details: The fee can be paid by Demand Draft drawn in favor of “Asia-Pacific Institute of Management” payable at "New Delhi". Student must write his/her name and phone numbers on the back side of Demand Draft and send it of the address of the Institute. Alternatively, students can also deposit the fees by RTGS/NEFT for credit of Asia Pacific Institute of Management.
The PGDM-BDA program course fee at Asia-Pacific Institute of Management is considered as one of the best within B-schools of Delhi-NCR region, it includes tuition fee and other related costs.
Essential courseware will be provided to the students from the well-stocked book bank of the campus library for the duration of the course on returnable basis. The academic fees is payable in installments as communicated in the admission offer letter.
A Post Graduate Diploma in Management-Big Data Analytics (PGDM-BDA) is a Two
Year full-time Diploma course offered by the Institute that is *recognized by the All India
Council for Technical Education (AICTE), Ministry of Education, Government of India.
*Applied for approval to AICTE for 2022-24 session, Approval Awaited
The Programme structure and credit of Post Graduate Diploma in Management (Big Data Analytics) is designed as per AICTE. The concept of credits is used to indicate the number of in-class contact hours in a course, and thus to define the weight age of a course. One credit equals 10 in-class contact hours. The rule of the thumb is that a 3.0 credit course involves around 100 hours of work–30 hours in the classroom, and the rest for preparation and assignments.
Asia-Pacific Institute of Management student is required to do 102 credits (in total) for the award of Post Graduate Diploma in Management (Big Data Analytics). Out of the required credits, 90 credits come from classroom teaching and the balance 12 credits from summer internship & Project work on Big Data Analytics.
Summer internship Programme (SIP) & Project work is a complementary component of the PGDM-BDA programs.
Courses in PGDM-BDA
The Courses & their Area along with their Credits offered to the students in the First Year is mentioned below:
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Basics of Data Science | Data Analytics | 3.0 |
| 2 | Business statistics | Statistics | 3.0 |
| 3 | Marketing Management-I | Marketing | 2.0 |
| 4 | Human Behaviour in Organizations | OB & HR | 2.0 |
| 5 | Data Analytics for Decision Making | Analytics | 3.0 |
| 6 | Quantitative Techniques | QT | 3.0 |
| 7 | Managerial communication | Communication | 3.0 |
| 8 | Financial Accounting | Finance & Accounting | 2.0 |
| Total Credits | 21.0 |
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Written Analysis and Communication | Communication | 3.0 |
| 2 | Data Exploration with Analytical Tools | Information Technology | 2.0 |
| 3 | Management Technology Systems (MIS) | Information Technology | 3.0 |
| 4 | Marketing Management-II | Marketing | 1.0 |
| 5 | Human Resource Management | OB & HR | 1.0 |
| 6 | Organizational Design and Change | OB & HR | 1.0 |
| 7 | Business Research Methods | QT & OM | 1.0 |
| 8 | Cloud Computing & HPC Applications | Information Technology | 3.0 |
| 9 | Operations Management | QT & OM | 1.0 |
| Total Credits | 16.0 |
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Languages & Tools of Data Science | Analytics | 3.0 |
| 2 | Data Visualization | Information Technology | 3.0 |
| 3 | Digital Commerce | Information Technology | 3.0 |
| 4 | Project Management | QT & OM | 3.0 |
| 5 | Strategic Entrepreneurship and New Age Business Models | Strategy | 3.0 |
| 6 | Applied Programming | Analytics | 3.0 |
| 7 | Elective-1 Advanced Analytics | Analytics | 3.0 |
| 8 | Elective-2 Web Analytics | Analytics | 3.0 |
| Total Credits | 24.0 |
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Business forecasting | Analytics | 2.0 |
| 2 | Descriptive Analytics | Analytics | 2.0 |
| 3 | Predictive Analysis with Modeling | Analytics | 2.0 |
| 4 | Digital Economy and Emerging Business Models | Analytics | 2.0 |
| 5 | Data Analytics Using R | Analytics | 3.0 |
| 6 | Artificial Intelligence in Business | Analytics | 2.0 |
| 7 | Marketing Analytics | Analytics | 2.0 |
| 8 | SIP | Analytics | 6.0 |
| Total Credits | 21.0 |
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Advance Data Visualization | Analytics | 3.0 |
| 2 | Data Mining and Business Intelligence | Analytics | 3.0 |
| 3 | Advance Prescriptive Analytics | Analytics | 3.0 |
| 4 | Machine Learning | Analytics | 3.0 |
| Total Credits | 12.0 |
| S.No | Name of the Course | Area | Credits |
|---|---|---|---|
| 1 | Block chain and its Business Application | Strategy | 1.0 |
| 2 | Big Data using Spark | Analytics | 1.0 |
| 3 | Data Analysis with Python (project work ) | Analytics | 6.0 |
| Total Credits | 8.0 |
From Term-3 in the First Year, students will be required to undertake Elective courses. A student enrolled in the PGDM (BDA) program, is required to complete 47 credits from the Elective courses spread over Term-3 to Term-6 in the Second year of the Two Year Program.
In order to provide the opportunities to students to specialize in their Area of choice, each sentient area will offer Elective courses. The Sentient Area may specify certain Elective courses as Specialization Area Pre-requisite (SAPR) courses that must be taken by those students who have chosen that Area to Specialize in.
The Elective courses will be offered by the following Sentient Areas:
3 & 4, GD Birla Marg, Institutional Area, Jasola , New Delhi - 110025
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