Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekdays, Weekends |
Course Overview
The course of Modular Programme in Data science classes offered by the IIM Bangalore provides a great chance to all the participants who are interested in the field of data science and management. The Modular Programme in Data science certification for this course is available from IIM Bangalore. The course content will help the candidates to understand the basics of data science, machine learning, and artificial intelligence. The learners will learn how an individual can imply the content studied in the classroom to real life.
Candidates will learn through projects, assessments and modules. All the modules and course materials of Modular Programme in Data science training are designed by experts. Participants will gain information on the required details which are needed for being a professional in the field. The curriculum will give a clear-cut understanding of how professionals can strengthen their organisations by using the innovative techniques of data science. The Modular Programme in Data science online course will help the participants to increase their academic records as well. Faculty will teach through online mode and they will equip the candidates with all the necessary details which are required in the field for being successful.
The Highlights
- A live online learning program
- Certification available
- Created by IIM Bangalore
- Lectures from industry experts
Programme Offerings
- Online lectures
- discussions
- assignments
- Projects
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Bangalore |
- Total programme fee of Modular Programme in Data science online course payable by the candidate is Rs.6,25,000
- The programme fee has applicable GST and other charges.
- Total course fee for the international candidates is USD 8875..
- Candidates have to pay Rs. 1,25,000 for the machine learning module.
- Candidates have to pay Rs.1,25,000 for a big data module.
- Students should pay Rs.1,25,000 for AI and deep learning modules.
Fee details for Modular programme in Data Science
Fee category | Amount Payable |
Indian students ( In Rs.) | |
Module-0 | Rs. 1,25,000 |
Big data | Rs. 1,25,000 |
Machine learning | Rs. 1,25,000 |
AI and deep learning | Rs. 1,25,000 |
| Natural Language Processing | Rs. 1,25,000 |
*Applicable GST
Eligibility Criteria
Work experience
Candidates who are interested in pursuing this course should have at least 3 years work experience.
Education
Students who are interested in pursuing this Modular Programme in Data science training programme should have a bachelor's degree in any discipline with mathematics as a core subject.
Candidates must have basic knowledge about coding.
Certification Qualifying Details
Students who will complete all the 3 modules with projects can appear for the exam and can achieve a course completion certificate.
Students who fulfill all the requirements of the modules will receive a comprehensive MDPS certificate. While the candidates who will complete 80 percent of attendance will receive an attendance certificate after completion of every module.
What you will learn
After completing this course candidates will learn about-
- Students will be able to identify ways in which organisations can indicate data driven decisions.
- They can understand how one can construct a business proposal for data science initiatives.
- Learners will be able to solve computational problems using a personal laptop as well as cluster
- Participants will gain information on foundational understanding of machine learning, big data and AI.
- Participants may learn about how one can develop a business perspective of the dynamic discipline of data science.
- Through the Modular Programme in Data Science, online course content candidates may learn about python programming.
- Candidates may gain insights on descriptive statics.
- Candidates will learn about linear algebra and geometry.
- Learners may gain important information sampling, confidence and parameter estimation.
- Basic concepts of data science and machine learning will be taught by the faculty to the students.
Who it is for
The course of Modular Programme in Data Science is highly beneficial for the following-
- Aspirants who are interested in doing the data driven work professionally.
- Working professionals such as managers who wish to work in this area.
- Aspirants who are interested in learning about technology and coding.
Admission Details
To get themselves enrolled in the course, the candidates may follow the stepwise procedure as described below:
Step 1: The candidates are requested to click on the URL below
https://www.iimb.ac.in/eep/product/392/MPDS?management=Anlaytics&addurl=L20014&Ref=AdwordsSL
Step 2: The participants will now reach the IIMB website.
Step 3: The candidates may click on the button ‘apply online’, given on the top right of the page.
Step 4: You may now register yourself by filling the required details.
Step 5: After filling the details, the candidates may create their login id and password for future use. They may also login through their LinkedIn account.
Step 6: The candidates now need to login with their newly created credentials. IT will then redirect them to the page from where the candidate can select their course. The page will display you the options to select your course. Please select the course.
The Syllabus
- Python tutorial
- Descriptive statistics – variables and their visualisation, probability
- Random variables, binomial, Poisson and normal distributions
- Sampling, confidence intervals and parameter estimation
- Statistics for Business 1 - spreadsheet-driven elaboration of descriptive statistics and probability; decision-making with Bayesian logic
- Statistics for Business 2 - R programming with a business use case, random variables, binomial, Poisson and normal distributions
- Inferential statistics – hypothesis testing framework, ANOVA, chi-squared tests
- Forecasting with time series
- Linear algebra and geometry
- The machine learning landscape
- Machine learning in practice
- Supervised models: Regression and classification
- Decision trees and random forests
- Support vector machines
- Dimension reduction and PCA
- Unsupervised models: clustering
- Machine learning at scale
- Cases: Mission Hospital (IIMB), Lead Generation at Eureka Forbes, Commonwealth Bank
- Industry Talks: Entrepreneurs who have built ML firms
- Tectonic movements in the landscape of data
- Volume: Structured data, Big Query, cloud computing
- The MapReduce construct, Hadoop
- Spark with Scala and Python – business applications
- Variety: Network analysis
- Velocity: Streaming applications
- Operational excellence, supply chain management
- The IoT movement, Industry 4.0
- Veracity: The case of Cambridge Analytica
- Cases: Customer Analytics at BigBasket (IIMB), 1920 Evil Returns (IIMB), Fiesta Gifts
- Industry Talks: Speakers from Amazon, Google & Microsoft, Target, etc.
- Industry Talks: Big data in Government, Healthcare, Marketing
- The AI Landscape
- Biological origins
- Historical perspective
- Optimisation and search
- Single and multi-layer networks
- The TensorFlow platform
- CNNs and RNNs
- Natural language processing
- Generative Adversarial Networks
- Reinforcement learning
- Genetic algorithms, ant colony optimisation
- Artificial life systems
- The Future of AI
- Cases: Tailored Brands, Intenseye, Distinct Software, Picking the Best Path, Edge Networks (IIMB)
- Industry Talk: Speakers from AIndra, Google and Microsoft
- The NLP Landscape
- NLTK and spaCy libraries
- Language models
- Sentence Classification
- Word & document embedding
- Information extraction
- Chatbots
- Social Media
- Applications to E-Commerce & Retail
- Applications to Healthcare, Finance & Law
- Attention, transformers, BERT
- NLP at scale with Spark
- Industry speakers from Healthcare
- Cases: Cogent Labs
Evaluation process
After applying online for the course, there is a selection process through which all the shortlisted candidates need to pass. The shortlisted candidates will have to appear for an online entrance test. The candidates clearing this exam will then be eligible for the MDPS’s core modules.
Instructors
IIM Bangalore Frequently Asked Questions (FAQ's)
The course content is taught in online mode only.
The candidates will get a refund only when they will give 15 days prior information before the starting of the program.
After shortlisting the candidates the institute will reach out to the candidates and then they have to give an online entrance exam for their enrollment.
Candidates should have 8 GB laptops with 50 GB frees storage and a stable internet connection with a 3 GB daily plans.
Candidates should have the latest technology personal laptops and the institute will suggest the students install software packages from time to time.
The details about the scholarship are not provided by the institute.
In case some queries arise then the candidates should contact the support desk.
Students should have prior knowledge of mathematics and coding.