PGDM(BDA)
Post Graduate Diploma in Management (Big Data Analytics) - PGDM(BDA)
The Post Graduate Diploma in Management (Big Data Analytics) is a Two-year Full-Time AICTE-approved program specially designed to cater to the skill deficit of BDA talent in the industry. The program is crafted for working professionals and prospective managers to learn and gain hands-on experience in solving real-time business problems using data.
The global big data and business analytics market size was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030, growing at a CAGR of 13.5% from 2021 to 2030 (alliedmarketresearch.com). Big data analytics has marked a huge impact in diverse industries by culminating the new-age business models, presenting transparency, and offering solutions to almost any unsolvable problems. Considering the huge opportunities, the program will equip students on how to develop and deploy powerful data models and spawn actionable insights, necessary for strategic decision-making at various stages in a business.
Having multi-disciplinary expertise in business verticals and analytics, the FORE School of Management (FSM), is best equipped with its state-of-the-art infrastructure and outstanding faculty to take their students on the growth trajectory ensuring learning with confidence. The learning is supplemented with several tools such as faculty interaction, online learning platforms, capstone projects, case studies, software tools, live projects, internships, and data-backed stories to ensure industry-aligned wisdom.
Competency Goals (CGs) and Programme Objectives (POs)
The Programme aims to build the following Competency Goals through the associated Programme Objectives:
CG (1): Decision-making
PO (1): Students will be able to solve management problems.
CG (2): Global Mindset
PO (2): Students will be able to appraise global issues in business.
CG (3): Teamwork
PO (3): Students will be able to perform effectively in teams.
CG (4): Leadership
PO (4): Students will be able to effectively lead a team.
CG (5): Stakeholder Engagement
PO (5): Students will be able to combine the interests of diverse stakeholders.
CG (6): Professional Communication Skills
PO (6): Students will be able to communicate professionally.
CG (7): Diversity and Inclusivity
PO (7): Students will be sensitive to diversity and inclusivity.
CG (8): Ethics & Integrity
PO (8): Students will be able to demonstrate ethics and integrity in data management.
CG (9): Sustainability Approach
PO (9): Students will be able to evaluate sustainability issues in management decision-making.
CG (10): Innovative Thinking
PO (10): Students will be able to experiment with innovative approaches to solve business problems.
CG (11): Technological Competence
PO (11): Students will be able to apply contemporary technologies to solve business problems.
CG (12): Data analysis
PO (12): Students will be able to analyse data for management decisions.
Pedagogy:
The instructional methodology comprises an optimum mix of lectures, classroom discussions, case studies, role-plays, group discussions, special sessions from professionals from industry and trade, management games, sensitivity training, management films, industrial visits, and industry interaction. Students are encouraged to present their cases through written case reports, individual or group presentations. Further opportunity is provided through participation of students in various seminars.
Curriculum:
The curriculum of the PGDM(BDA) at FORE School of Management is an outcome of benchmarking against the best in the world, and continuous review by the faculty in concert with practitioners from industry, alumni and students. The curriculum is designed such that students acquire conceptual understanding of theoretical and abstract concepts, big data ecosystem, computing and programming environment and business problems and remain abreast with all developments and innovation in the industry. The content and design of courses are directed towards developing managers who (i) have holistic and deep knowledge of their functional specialization along with the appreciation of its role in the value proposition of the firm; (ii) are industry-ready due to understanding of concepts, frameworks and models steeped in the context of practice; (iii) and have sustainable employable competencies suffused with learning through cutting-edge courses that are contemporaneous as well as futuristic.
In the two years of the programme, students have to 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 their proper relief. 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-4 onwards. Thus, while Term-1, 2 and 3 have only core courses, Term-4, 5 and 6 have only elective courses. The elective courses allow students to choose and develop proficiency in their Area of Specialization.
Following the first year programme, students are required to undertake 8-10 weeks of Summer Internship in a public or private corporate organization. The successful completion of the Summer Internship programme is a mandatory requirement for the completion of the Post Graduate Diploma in Management (Big Data Analytics). Summer Internship is expected to provide students powerful managerial insights with regard to business problems, understanding of management concepts in the bedrock of industry practices, and refinement of knowledge acquired in the classroom.
The second year of the programme, from Term-4 to Term-6 consists only of elective courses. These electives comprise courses offered by different Areas, courses of independent study, exchange programmes, and complimentary International Immersion Programme (IIP).
The International Immersion Programme is a complementary part of the full time course curriculum that is held after Term-3 for students to have an exposure to international business scenario and global best practices in their respective area of specialization. The immersion involves 15 hours of in-class teaching of the elective course opted by the student along with industrial and corporate visits at any one of the international partner institutions abroad. The credits earned in the IIP accrue in Term-4.
International Certification
We may offer an opportunity to earn complimentary International or Industry endorsed Certification on Big Data Analytics to all the students joining PGDM(BDA) programme.
Programme Structure and Credits:
The institute uses the concept of credits to indicate the number of in-class contact hours in a course. One credit equals 10 in-class contact hours. The 3.0 credits course involves around 100 hours of work i.e. 30 hours in the classroom, and the rest for preparation and assignments.
A student is required to complete 109.5 credits (in total) for the award of Post Graduate Diploma in Management (Big Data Analytics). Out of the required credits, 103.5 credits come from core (60.0 credits) and elective (43.5 credits) courses and 6.0 credits from Summer Internship. It must be noted that the credits earned from Summer Internship are not used for calculation of CGPA.
The Year and Term wise Course Credit distribution in the PGDM(BDA) programme is as under:
