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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.

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