
- Duration
12 Months
- Mode
Direct-to-Device
- Batch
02
- Commencement Date
18th January 2025
- Application Closure Date
Closed
- Session Timing
Saturday, 6:00 pm to 9:00 pm
Programme Overview
Data science, a rapidly growing segment, has witnessed over 650% growth since 2012. With a projected market value of $230.80b by 2026, organizations are leveraging data for competitive advantage. Redefine your data science prowess with IIM Kozhikode – Professional Certificate Programme in Data Science for Business Decisions ideal for tech professionals, mid-level managers, early managers/team leads, senior executives, etc., which offers a comprehensive curriculum and interactive learning approach. Participants gain in-depth knowledge and essential skills in supervised and unsupervised learning, social media analytics, big data technologies, and more. The focus is on understanding data science applications in business and management rather than programming/coding.
Admission Criteria

Eligibility Criteria
- For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities) in any discipline.
- Minimum of 3 years of work experience (after graduation) as on the programme date i.e. technical orientation date.
Admission Criteria
- Selections will be based on candidates’ profiling.
About Indian Institute of Management Kozhikode
Started in 1997 with its Post Graduate Programme (PGP), the Indian Institute of Management Kozhikode (IIMK) is on a high growth trajectory today, offering a wide range of academic programmes in the field of management education. These include: Fellow Programme in Management, Executive PG Programmes, Management Development Programmes and Faculty Development Programs. IIMK set up a Satellite campus at Infopark, Kochi, in 2013 dedicated to Executive Education. IIMK also has the unique distinction of launching a PhD (Practice Track) programme for working professionals besides bringing in new dynamic programmes such as the one-year Post Graduate Programme in Business Leadership (2019), MBA in Finance and MBA in Liberal Studies & Management (2020). The institute is also home to IIMK LIVE (Laboratory for Innovation, Venturing, and Entrepreneurship), a first-of-its-kind startup incubation programme and the Indian Business Museum.
IIMK is ranked 3rd as per NIRF India Rankings 2024: Management. The institute also features regularly among top global institutes for its flagship Master of Business Administration (PGP) and Executive Master of Business Administration Programme (EPGP) in the QS World University Rankings. The institute has leapfrogged 100 spots to be placed in the Top 151-200 Institutes in Business & Management Studies globally, and 16+ Asia-Pacific region in the QS World University Rankings 2024. IIM Kozhikode is globally accredited by EQUIS (EFMD) and AMBA (UK).
IIM Kozhikode also made its debut in the prestigious Financial Times Rankings in 2023 and was recently ranked #70 among the top-80 open-enrolment executive program providers globally for the year 2024. The feat has further consolidated the 28-year IIM’s footing in an exclusive list of the foremost providers of executive education in the world. The institute had also entered in global top-100 at Rank #77 for FT Masters in Management (MIM) 2023 Rankings, for its full-time MBA programme. IIM Kozhikode has successfully delivered close to 1300 MDP programmes over the past two decades, training more than 41,000 participants from 150+ organizations, which also includes several Fortune 500 companies in the process.
- 3rd Rank – NIRF India Rankings (Management) 2024
- #4 in India, #70 in Global Rank – Financial Times Open Enrolment Rankings 2024
- 16+ in Asia and 151+ Global – QS World University Rankings 2024

Programme Highlights
Certificate of Completion from IIM Kozhikode
Gain Lifelong Executive Alumni status
Learn from Eminent IIM faculty and Industry Experts
High-Impact Learning: Industry Case Studies, Practical Insights
Assimilate and Apply Learnings via Capstone Project
High-Intensity Classroom: 2 Days In-Campus Immersion
Acquire know-how ‘Data Science’ Tools and Techniques
Develop Analytical and Critical Thinking Abilities
Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
Book your Seat
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Syllabus Breakdown
- Data sources, Database
- Structured vs Unstructured data
- Data extraction/acquisition, storing, integration
- Data pre-processing
- Big Data
- R, Python
- Tableau
- Exploratory data analysis (Summary measures, Visualizations, Probability and Distribution)
- Confirmatory data analysis (Statistical Inference)
- Unsupervised Learning Technique (Clustering and Dimension Reduction)
- Regression and Classification (Statistical Learning)
- ML Techniques: CART, Ensemble Techniques (Bagging, Boosting, Random Forest), SVM
- Time series forecasting techniques
- Optimization technique
- Artificial neural network (ANN)
- RNN, CNN
- Web scraping
- Text mining
- NLP tools and techniques (Gephi, NodeXL)
- Information Value chain and Big Data characteristics
- Data Supply Chain: Data Architecture approaches under Traditional and Big Data landscape
- Data Monetization, Big Data Business Value Discovery, Big Data economy and business value
- Big Data applications (Industry, X Industry)
- Big Data tools – Hadoop, Apache Spark, HBase, Cassandra, MapReduce, Hive
- Marketing and Retail Analytics (Customer lifetime value, Market Basket Analysis, Customer attrition)
- Financial Analytics (Fraud analytics, Portfolio Management)
- Operations and Supply Chain Analytics (Demand Forecasting, Network optimization)
- HR Analytics (Employee churn)
- Healthcare Analytics
- Analytics in Government
Programme Fee Details

- No cost EMI available.
- Any change in any of the applicable taxes during the tenure of the programme, to be borne by the participants
- Boarding and Lodging during campus visit provided by IIM Kozhikode
- Application fee is not included in the installement pattern
Application Fee
INR 2,000/- + GSTTotal Programme Fee
INR 2,00,000/- + GST (Exclusive Application Fees)Installment Pattern

- Any change in any of the applicable taxes during the tenure of the programme, to be borne by the participants
- Boarding and Lodging during campus visit provided by IIM Kozhikode
- Application fee is not included in the installement pattern
Booking Amount
INR 80,000/- + GST As mentioned in the offerInstalment 1
INR 60,000/- + GST 15th April 2025Instalment 2
INR 60,000/- + GST 15th July 2025Earn a Career Certificate
- Participants who successfully meet the evaluation criteria and satisfy the requisite attendance criteria will be awarded a ‘Certification of Completion’.
- Participants who are unable to clear the evaluation criteria but have requisite attendance will be awarded a ‘Participation Certificate’.
- “Professional Certificate Programme in Data Science for Business Decisions” Certificate will be provided by IIM Kozhikode.

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Start Referring Today! Start Referring Today!Frequently Asked Questions
- Yes, participants who successfully complete the programme will typically receive a certificate of completion from IIT Delhi, highlighting their accomplishment in the field of advanced strategic management.
- There are no specific prerequisites for enrolling in this programme. However, having a basic understanding of business concepts and experience in a professional setting would be beneficial.
It is ideal for participants:
- Tech professionals who want to upskill
- Mid-level managers/business analysts/domain specialists managing Data Science projects who want to manage Data Science projects
- Suitable for early managers/team leads who want to transition to Data Science career
- Senior Executives who want to gain a holistic understanding of Data Science
- Math/Stats Background Beneficial: No Hands-on Big Data Coding
It will be advantageous for the participants if they are familiar with mathematics, statistics, or any programming language. The programme might not be appropriate for applicants aspiring to learn how to code and gain practical experience with any Big Data technologies.