Data Science Course Syllabus For 2024: Course-Wise Syllabus And Subjects

Hridhya Manoj — Mon, 04 Mar 2024 10:30:42 +0000

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Data Science Course Syllabus

This Data Science Course will teach students the ways to work with structured and unstructured data. This can be done with the help of some tools, algorithms, and software. Therefore, students should check the data science syllabus before choosing a university to enroll.

We know that data science courses include subjects like Statistics, Programming, Machine Learning, Artificial Intelligence, Mathematics, and Data Mining. Moreover, these subjects can be seen in every data science course, starting from the online, classroom-based, and full-time degrees.

What is Data Science and its Syllabus?

Data Science is a discipline that involves the study of data to extract meaningful insights of data. Data Science has become the fastest-evolving field in the IT Sector. Thus, the topics that will come under Data Science are the following:

Artificial Intelligence
Auto Machine Learning
Natural Language Processing (NLP)
Data Fabric
Cloud Migration
Data as a Service
Robotic Process Automation (RPA)
Federated Learning
Data Democratisation
Data Regulation and Governance

What are the Course-Wise Syllabus Of Data Science

The Best Data Science courses after the 12th are the BSc Data Science, MSc Data Science, BTech Data Science, and MTech Data Science. The Syllabus of each of these course is provided below.

What is the Syllabus for the BSc of Data Science?

BSc Data Science has mainly 6 semesters. Thus, the syllabus of each semester will be very different and consist of Artificial Intelligence, Applied Statistics, and Cloud Computing with the elective subjects. The Main Course Subjects are given below:

Basics Statistics	Discrete Mathematics
Linear Algebra	Probability and Inferential Statistics
Big Data Analytics	Data Visualization
Database Management Systems	Cloud Computing
Object-Oriented Programming in Java	Machine Learning
Programming in C	Data Structure and Program Design In C

What is the Btech Data Science Course Syllabus?

Btech Data Science is an undergraduate 4-year course of an 8-semester system, and 6 program electives. The syllabus of the BSC Data Science Course is given below:

Engineering Physics	Engineering Chemistry
Maths	Advanced Physics
Introduction to Artificial Intelligence and Machine Learning	Application-based Programming in Python
OOPS using Java	Principles of Operating System
Discrete Structures	Data Acquisition
Design and Analysis of the Algorithm	Artificial Intelligence
Data Structures using C	Database Management System

What is the BCA Data Science Syllabus?

BCA Data Science Syllabus is mainly an undergraduate 3-year course with 6 semesters. Moreover, the course curriculum is structured in a way that it will teach advanced in-depth knowledge of Data Science and Software Applications. Thus, the syllabus of BCA Data Science Course is given below:

R Programming for Data Sciences	Information and Data Security
Data Modelling and Visualization	Big Data Analytics
Machine Learning	Natural Language Processing
Software Engineering	Python Programming Lab
Object-Oriented Programming using C++	Introduction to Java and Web Programming
Computational Thinking and Programming in C	Operating System
Computer Essentials for Data Science	Data Structure And Algorithm
Environmental Essentials for Data Science	Database Management System
Discrete Mathematics	Statistics and Probability

What is the MSc Data Science Course Syllabus?

MSc Data Science Course is a post-graduate 2-year program. This course consists of Calculus, Descriptive Statistics, C Programming, and also, the use of several technologies such as ML, DL, Python, and Sparkn is being discussed in this course. The main courses that are covered in the MSC Data Science Course are mentioned in the table below:

Fundamentals of Data Science	Machine Learning
Applied Statistics	Data Mining and Algorithms
Mathematics for Spatial Science	Spatial Big Data and Storage Analytics
Python Programming	Advanced Python Programming for Spatial Analytics
Introduction to Geospatial Technology	Image Analytics

Conclusion

Summing up, this article will allow the students after 12th and undergraduates to choose data science courses according to their preferred subjects and electives. Therefore, Students can decide if a data science course is the right option for them after knowing the syllabus of the data science course. Knowing the syllabus will be an advantage for their career in data science.

Data Science Course Syllabus -FAQs

Q1. What are the topics in data science?

Ans. Introduction to Data Science, Mathematical and Statistical Skills, Machine Learning
Artificial Intelligence, Coding, Applied Mathematics, and Informatics.Machine Learning Algorithms and Data Warehousing.

Q2. What are the 4 types of data science?

Ans. Descriptive, diagnostic, predictive, and prescriptive are the 4 types of data science.

Q3. Is data science a good career?

Ans. Yes, data Science has a several career path with great potential for the future.

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together