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What is Data Science? Complete Guide to Skills, Courses, & Careers

Updated: 28 January 2026, 3:24 pm IST

TL;DR

  • Data science involves deriving insights from data using statistics, programming, and AI tools.

  • With swift technological advancement, the demand for skilled professionals is growing in various industries.

  • Hence, you can choose between full-time programmes or short-term certification courses to build expertise.

  • The skills learnt from these courses are data analytics, programming, machine learning, and visualisation, among others.

  • Some career opportunities which can be secured after these courses include AI Engineer, Data Scientist, ML Engineer, and more.

  • With regular upskilling using industry-aligned certifications, you can accelerate your career growth.

Introduction

By 2028, data-related jobs are expected to register a 57% increase, according to a report published in Business Standard. This emphasises the increasing demand for data science graduates and the rewarding career scope in this field. 

However, if you’re curious about what data science is, what it involves, and how you can build a career in it, this guide will walk you through everything you need to know.

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What is a Data Science Course? Top Reasons to Pursue It

Data science courses involve the interdisciplinary study of ways to extract insights and knowledge from a given dataset using scientific methods, systems, and algorithms. These programmes generally fall into two categories:

  • Full-time degree programmes

  • Short-term certificate courses

Top Reasons to Pursue a Data Science Course

There are plenty of good reasons to consider a data science course. Here are some of the biggest ones:

  • The field keeps growing and changing, so there’s always something new to learn.

  • It gives you future-ready skills that stay relevant no matter how the job market shifts.

  • Data science offers a wide range of career options across different industries.

  • Professionals in this field often enjoy attractive salary packages.

  • Businesses of all kinds rely on data experts to make smarter decisions.

  • Many data roles allow remote or flexible working arrangements.

  • You can choose from full-time, part-time, or online courses based on your schedule.

Popular Data Science Course Details

Before selecting a data science course, it’s important to understand what each programme offers and who it’s best suited for. This will help you choose the right path based on your interests and career goals.

UG (Undergraduate) Programmes

Course Name

What is it About

Who is it Suitable For

BCA (Bachelor of Computer Applications) in Data Science

It focuses on integrating computer applications, machine learning, data analytics, and programming for solving business challenges.

  • Coding enthusiasts

  • IT (Information Technology) and Analytics

  • Students interested in applied learning

B.Sc (Bachelor of Science) in Data Science

It emphasises statistical foundation, programming, mathematics, and data analysis for deriving insights to support decision-making.

  • Aspiring data analysts

  • Research-focused students

  • Learners with strong mathematics skills

B.Tech (Bachelor of Technology) in Data Science

It combines engineering principles with AI (Artificial Intelligence), advanced analytics, and big data technologies for building scalable data-driven solutions.

  • AI and data enthusiasts

  • Research and development aspirants

  • Tech enthusiasts

PG (Postgraduate) Programmes

Course Name

What Is It About

Who Is It Suitable For

M.Sc (Master of Science) in Data Science

It involves advanced study of statistics, AI, and data analytics to solve complex challenges and drive innovation.

  • STEM (Science, Technology, Engineering, and Mathematics) graduates

  • Research-focused learners

MBA (Master of Business Administration) with Data Science Specialisation

It blends business strategy with analytics, ensuring readiness to lead data-driven decision-making in organisations.

  • Leadership role seekers

  • Business analysts

M.Tech (Master of Technology) in Data Science

It focuses on advanced engineering, AI, and big data systems for high-level technical and R&D (Research and Development) roles.

  • Tech innovators

  • Engineering graduates

  • AI and ML (Machine Learning) enthusiasts

Data Science Courses at Amity University Online

At Amity University Online, we offer flexible online data science courses with industry-aligned curricula to help you build the knowledge and skills required to excel in this field:

Programme Type

Course Name

Key Focus Areas

Duration

Undergraduate Programme

BCA with Data Science Specialisation

  • Programming (C, Java, Python, R)

  • Mathematics and Statistics

  • Data Management and Visualisation

  • Machine Learning and AI

  • Software Systems and Networking

  • Big Data and Advanced Analytics

  • Communication Skills and Project Work

3 years

Postgraduate Programme

MBA with Data Science Specialisation

  • Business and Management Fundamentals

  • Economics, Finance, and Marketing

  • Data Science and Machine Learning

  • Data Engineering and Visualisation

  • Strategic and Ethical Leadership

  • Applied Projects and Industry Practice

2 years

Postgraduate Programme

M.Sc. in Data Science

  • Mathematics, Statistics, and Optimisation

  • Programming and Data Engineering

  • Data Science with R and Python

  • Machine Learning, AI, and NLP (Natural Language Processing)

  • Big Data and Analytics

  • Visualisation, Ethics, and Project Work

2 years

Best Data Science Certifications for Relevant Upskilling

If you wish to develop your skills in data science using short-term, beginner-friendly certification courses, then Amity University Online has a wide range of programmes as well. These include:

 

Also Read:- 6 Best Data Analytics Certification Courses Online

Data Science Skills for Beginners: What You Need vs What You Will Develop

As a beginner in data science, there are certain essential skills that you must have before you start, while there are some skills you will develop through the course. Here’s a quick look at the various skills used in this field: 

Skills You Need 

Skills You Will Develop 

  • Basic Mathematics and Logical Reasoning

  • Basic Research Skills

  • Problem-Solving Mindset

  • Basic Excel Knowledge

  • Communication Skills

  • Analytical Thinking

  • Python and R Programming

  • Data Handling

  • Data Visualisation Skills

  • Statistical Analysis

  • ML and AI Basics

  • Tool Proficiency (Tableau, SQL, etc.)

  • End-to-End Project Skills

Data Science Career Scope and Future Trends

If you’re aiming to build a career in data science, understanding where the field is growing can help you plan better. Today, data science is no longer limited to tech companies; it powers innovation and decision-making across industries. 

From predicting customer behaviour to improving healthcare outcomes, businesses everywhere rely on data-driven insights to stay competitive.

 

Also Read:- What is the Scope of Data Science in 2026?

Career Scope in Diverse Sectors

Here’s how different sectors are applying data science to drive innovation and growth.

Sector

How Data Science Is Used

IT and Software

Enhances product development, automates processes, enables predictive analytics, and supports AI/ML solutions.

BFSI (Banking, Financial Services, and Insurance)

Detects fraud, evaluates credit risk, analyses algorithms, and delivers personalised customer experiences.

E-commerce and Retail

Drives recommendation systems, optimises pricing, analyses consumer behaviour, and manages inventory.

Healthcare and Pharma

Aids in diagnostics, supports drug discovery, analyses patient data, and enables personalised treatment plans.

Manufacturing, Energy, and Consulting

Optimises operations, predicts maintenance needs, forecasts demand, and supports strategic decision-making.

Top Data Science Jobs in Demand Today

After pursuing a data science programme or certificate course, you can unlock several high-paying job opportunities, such as:

Job Role

Description

Salary Range p.a. (approx.)

Data Scientist

Analyse complex data sets to derive insights, build predictive models, and support decision-making using data across businesses.

Rs. 4 Lakhs- Rs. 29.3 Lakhs

Data Privacy Officer

Ensure organisational compliance with data protection laws, manage data privacy policies, and protect sensitive information.

Rs. 4.7 Lakhs- Rs. 35 Lakhs

Machine Learning Engineer

Design and effectively use machine learning models and algorithms to create intelligent systems and automate data processes.

Rs. 3.5 Lakhs- Rs. 26 Lakhs

BI (Business Intelligence) Developer

Develop tools and dashboards to visualise data trends, helping businesses make strategic decisions based on insights.

Rs. 3 Lakhs- Rs. 17 Lakhs

AI Engineer

Build and implement Artificial Intelligence applications, including Natural Language Processing, computer vision, and intelligent automation solutions.

Rs. 3.6 Lakhs- Rs. 32 Lakhs

 

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Summing Up

Data science is changing the future of innovation and decision-making, and this field offers strong career growth, various roles, and global job opportunities. Hence, the right skills, knowledge, and certifications can ensure you a fulfilling and future-proof career. 

Excelling in this field requires a strong foundation, for which you can trust Amity University Online’s programmes and certification courses. Our courses have industry-relevant curricula, which are taught by world-class faculty and supplemented with student-friendly learning resources. Explore a variety of courses on Amity University Online’s official website to give your career the right direction.

Stay updated with our latest Webstories:- Top Online Data Science Degrees

Check Out Our Top Online Programs

Author
Pritika

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frequently asked questions


Can those from a non-technical background transition to data science?

+

Yes, non-technical background students or professionals can also transition to data by taking relevant certification courses for a start.


Do I need to know advanced mathematics to learn data science?

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No. A basic understanding of probability, statistics, and linear algebra is sufficient to get started. Advanced concepts can be learnt gradually.


Can I pursue data science courses while working full-time?

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Yes, at Amity University Online, the online programmes and certificate courses are highly flexible, making them suitable for working professionals.


Do short-term certification courses provide hands-on training?

+

Yes, at Amity University Online, students get the opportunity to work on real-world projects to gain hands-on experience.


How to stay updated with upcoming trends in data science?

+

To stay updated with data science trends, you can follow industry-relevant blogs, take advanced courses, practice regularly, and attend webinars.