Data Science Syllabus and Subjects 2025

Data science syllabus and subjects teach students how to work with data using various tools and software. Before choosing a college or university to enroll in, it's important to check the semester-wise data science syllabus.  The core data science subjects include Statistics, Programming, Machine Learning, Artificial Intelligence, Mathematics, and Data Mining. These subjects are taught in almost every Data Science course, regardless of whether it's online, classroom-based, or a full-time degree.

The data science 1st year syllabus consists of Linear Algebra, Basic Statistics, Programming in C, Communication Skills in English, and Fundamentals of Data Science. Although the basic syllabus is the same for different data science degrees, projects, and electives may differ. For example, the BTech Data Science course syllabus includes labs, projects, and dissertations, while the MSc Data Science course focuses more on research-oriented topics, training, and research projects. You can check out the stream-wise Data Science syllabus, core Data Science subjects, lab subjects, optional subjects, entrance exam syllabus and more. 

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Students can check the data science subject highlights have been listed in the table below.

Data Science Syllabus is designed to make sure that students can fully learn about data science, business, and business studies. The Data Science syllabus is devised keeping the needs of the industry in mind. The Data Science program offers a wide range of subjects. Given below is the Semester Wise Data Science subjects -

B.Tech Data Science Syllabus and Subjects

The BTech Data Science syllabus 2025 consists of 6 semesters and covers over a year of 4 years. The BTech Data Science subjects 1st year are basic ones like Engineering Graphics, Communication Skills, Engineering Mathematics, Probability, and Statistics. These Data Science subjects 1st year are usually the topics that students have studied earlier. As the course progresses, more advanced topics are added in the BTech in Data Science syllabus like, Data Science Tools, Data Visualization, Data Warehousing and Mining, etc. 

You can check out the BTech in Data Science syllabus semester wise below. 

First Year B.Tech Data Science Syllabus (Semester 1 & 2)

Second Year B.Tech Data Science Syllabus (Semester 3 & 4)

Third Year B.Tech Data Science Syllabus (Semester 5 & 6)

Final Year B.Tech Data Science Syllabus (Semester 7 & 8)

BSc Data Science Syllabus and Subjects

You can check out the BSc Data Science syllabus semester wise below. 

First Year BSc Data Science Syllabus (Semester 1 & 2)

Second Year BSc Data Science Syllabus (Semester 3 & 4)

Third Year BSc Data Science Syllabus (Semester 5 & 6)

M.Tech Data Science Syllabus and Subjects

The MTech Data Science syllabus covers 4 semesters and is covered in 2 years. The MTech Data Science Engineering syllabus covers advanced subjects like Advanced Mathematics for Data Science, Machine Learning, Advanced Statistical Methods, etc. Students are given more detailed knowledge in MTech Data Science Engineering courses.

You can check out the M.Tech Data Science syllabus semester wise below. 

First Year M.Tech Data Science Syllabus (Semester 1 & 2)

Second Year M.Tech Data Science Syllabus (Semester 3 & 4)

MSc Data Science Syllabus and Subjects

You can check out the MSc Data Science syllabus semester wise below. 

First Year BSc Data Science Syllabus (Semester 1 & 2)

Second Year MSc Data Science Syllabus (Semester 3 & 4)

The Data Science syllabus covers core, elective, and lab subjects. The Data Science course subjects may vary depending upon whether you are choosing B.Tech in Data Science, M.Tech in Data Science or M.Sc. in Data Science. However, many of the core subjects in the Data Science course are similar to provide students with foundational knowledge about this specialization. These Data Science subjects include Introduction to Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Analysis, Coding (Python, SQL, Java), Predictive Analysis, Data Visualization, and Optimization Techniques. The elective subjects of Data Science vary institute-wise. Statistics, Programming, Artificial Intelligence, and Data Mining are also important subjects in any Data Science degree.

The Data Science syllabus includes various core subjects that provide students with deep knowledge about the specialization. The core Data Science subjects are somewhat similar across degrees, whether it's the BTech Data Science Engineering syllabus, the MSc Data Science syllabus. You can check out the core subjects in the Data Science Engineering course below. 

There are various optional subjects in the Data Science Engineering course from which students can choose as per their interest. However, keep in mind that each institute provides its own set of Data Science optional subject options. Go through the optional subjects in the Data Science Engineering course below. 

The Data Science syllabus also includes various lab subjects to provide students in hand experience. Through lab subjects of Data Science students can apply their theoretical knowledge to practical applications. 

Given below is the list of Data Science Lab subjects-

Although the Data Science syllabus varies degree-wise, there are various common subjects in all the courses. You can check out the common subjects in the Data Science Engineering Course below. 

There are various specializations under the Data Science course. Specializations in data science courses are commonly known as “tracks” or “focus areas”. Some of the Data Science Subject Specializations are Statistics, AI, Deep Learning, and related. You can choose your specialization as on your interests and career goals. Currently, Data Science is in demand industry where students have good scope.

Let us go through each specialization one by one to have a better understanding.

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The Data Science course is offered at various levels and degrees. You can choose a BTech Data Science course or a BSc in Data Science, depending on your preference for subjects and career plan. You can check out the comparison of the Data Science courses below.  

Data Science course is offered as a distance education also in various institutes. You can check out the Data Science syllabus for distance education below. 

First Year Data Science Syllabus for Distance Programme (Semester 1 and 2)

Second Year Data Science Syllabus for Distance Programme (Semester 3 and 4)

Coding is a fundamental skill in Computer Science, and Data Scientists ought to have a rudimentary knowledge of programming or coding. Data Scientists utilize programming languages such as Python, SQL, and R to pull, analyze and manage extensive datasets. Data Scientists also use programming to use Machine Learning models for Data Visualization and predictive critique. 

The way the Data Science syllabus and subjects are structured was intended to guarantee that the students have access to all the resources they require to complete the course successfully. The program includes both compulsory subjects and electives. The course outline is provided below:

• 6 Semesters
• Undergraduate Course
• Core Subjects
• Elective Subjects
• Research Project

Data science books can be used to reference some theoretical principles and learn about data science applications. Given in the table below is the list of Data Science Important Books along with the author’s name