Course Overview

The field of data science is an inherently multidisciplinary field, with professionals across the humanities, health sciences, commerce, science and law all requiring an understanding of various mathematical and statistical data analysis techniques and the ability to make use of machine learning tools and computational techniques. This programme will provide students with these essential skills as well expose them to the ethical and legal considerations that must be considered when working with data. The programme also provides a set of electives that allow students to explore the techniques, data characteristics, constraints and tools in various disciplines.

Course information

Duration

Regular Duration: 22 Months Fast-track Duration: 9 Months
Eligibility

Graduation or Equivalent
Level

Post Graduate
Fees

65900 INR. (Excluding GST)/
3000 USD

Curriculum

A well-structured curriculum designed for comprehensive learning and skill development.

Our curriculum is thoughtfully designed to provide a balanced mix of theoretical knowledge and practical skills, ensuring holistic learning and career readiness.

Syllabus

Introduction to Data Science
Python Programming
Data Wrangling and Visualization
Machine Learning for Data Science
Big Data Technologies
Business Intelligence and Data Analytics

Electives: NPTEL/SWAYAM/MOOC (Min. 4-weeks Certificate Programme)

Capstone Project/Internship

Educational Goals

Empowering students with knowledge, skills, and values for a successful future.

Our educational goals focus on fostering critical thinking, innovation, and lifelong learning. We aim to equip students with the skills and confidence needed to excel in their careers and personal growth.

Mastery of data analysis, data visualization, and statistical techniques.
Expertise in machine learning, AI, and predictive modeling.
Proficiency in programming languages such as Python, R, and SQL.
Understanding of big data technologies like Hadoop, Spark, and cloud-based solutions.
Skills in handling large datasets and performing data wrangling.
Knowledge of deep learning, neural networks, and model deployment.
Hands-on experience with data tools (Tableau, Power BI).
Ability to communicate data insights to stakeholders using data storytelling.
Expertise in ethical data handling and privacy laws.
Understanding of business intelligence and decision-making using data analytics.

Professional Paths

Guiding students toward successful and fulfilling career opportunities.

Our Professional Paths section helps students explore diverse career options, equipping them with the necessary skills and knowledge. We provide guidance to ensure a smooth transition from education to the professional world.

Data Scientist.

Data Analyst.

Machine Learning Engineer.

Data Engineer.

Business Intelligence Analyst.

Data Architect.

AI Researcher.

Data Visualization Specialist.

Predictive Analytics Consultant.

Quantitative Analyst.

Admission Process

There are 6 simple steps in the Admission Process which is detailed below:

STEP - 01

Application

STEP - 02

Fee Payment

STEP - 03

Confirmation of Enrolment

STEP - 04

Getting LMS Access

STEP - 05

Examination

STEP - 06

Certification

Frequently Asked Questions

ISBM provides flexible study options, including online and distance learning programs. These options enable students to learn at their convenience, making them ideal for working professionals and those with other commitments.

Yes, ISBM’s courses are widely recognized and developed to align with industry standards.

ISBM is dedicated to supporting online learners with resources like academic advisors, a student support team, and an online Learning Management System (LMS) for accessing study materials, submitting assignments, and engaging with instructors.

Yes, ISBM provides placement assistance, career counseling, and access to a network of potential employers. Students also benefit from skill development workshops to enhance their career prospects.

Exams are typically conducted online.

Yes, ISBM’s courses are widely recognized and developed to align with industry standards. For specific program accreditations and recognitions, check the course details or contact ISBM’s admissions office.

Yes, ISBM offers installment-based payment options to make education more affordable. You can view installment plans on the course page or reach out to admissions for detailed payment options.

Yes, ISBM provides placement assistance, career counseling, and access to a network of potential employers. Students also benefit from skill development workshops to enhance their career prospects.

Yes, ISBM welcomes international students to apply. Courses are accessible online, and dedicated support is available to address any unique requirements international students may have.

Yes, ISBM has a strong alumni network that provides valuable connections and networking opportunities. Alumni participate in webinars, mentorship programs, and events to support and guide current students.

Post Graduate Program in Data science