MSc Data Science Syllabus & Subjects 2023

MSc Data Science is a two-year full-time postgraduate degree that covers the major disciplines, techniques, and theories of Calculus, Descriptive Statistics, and C-Programming in order to understand numerous phenomena in relation to a large set of real-world data. Students may pursue jobs as data analysts, data architects, business analysts, data scientists, research data scientists, statistical programmers, operations managers, and operations analysts after completing this course.

The MSc Data Science syllabus covers the major subjects, tools, and theories of Calculus, Descriptive Statistics, and C-Programming in order to understand different occurrences in relation to a large amount of actual data. Statistics, mathematics, coding, machine learning, and other topics are commonly covered in M.Sc. data science courses.

The M Sc Data Science is a postgraduate program that has a course duration of two years further divided into four semesters. Its concept is to produce competent and analytical scientists and researchers who can unravel even the most challenging data in order to push the world's technological frontiers.It makes the learner aware of the conditions and hardships they must become acclimated to in order to survive in this harsh and competitive world while still pursuing something that would lead them to their goal. Students can obtain a detailed understanding of the field and subject matter by taking the M.Sc. Data Science course.

The MSc Data Science is a technically challenging degree that requires students to have a foundational understanding of the field, as has already been stated.

To be considered for an MSc Data Science, a candidate has to be knowledgeable in the required programming languages, mathematics, calculus, and statistics. Other abilities that an MSc Data Science candidate will develop include data analysis, machine learning and deep learning, data visualization, big data, and so on.

The description of the  MSc Data Science syllabus is provided below. Based on information gathered from several colleges, this is a standard syllabus. As a result, the syllabus at each college may differ slightly.

MSc Data Science First Year Syllabus

The first year syllabus of MSc Data Science is provided below-

MSc Data Science Second Year Syllabus

The second year MSc Data Science syllabus is provided below-

The MSc Data Science Subjects are designed to give students a thorough understanding of the fundamentals. For a deeper knowledge of complex application-related issues, the MSc Data Science syllabus incorporates both theoretical classroom-based teaching and practical visit sessions. For greater flexibility throughout the course of the two years, the curriculum includes both core and elective subjects. The following is the list of MSc Data Science subjects:

• Statistics
• Coding
• Business Intelligence
• Data Structures
• Mathematics
• Machine Learning
• Algorithms

Some of the common subjects that a student of MSc Data Science has to study include coding, statistics, data structures, algorithms and related subjects. The list of MSc Data Science common subjects depends on the institute in which students are enrolled.

Apart from these basic courses, you will have to select optional subjects to fulfill your credits. The MSc Data Science Common Subjects for All Semester are-

Other MSc Data Science Optional Subjects are- 

The main practical papers listed below are some of the MSc Data Science subjects found in the syllabus. The list of MSc Data Science may vary depending on the academic institution.

• Database Management System Lab
• Fundamentals of Programming Lab
• Big Data Lab
• Data Visualization Lab
• Business Analytics Lab
• Data Mining and Data Warehousing Lab
• Machine Learning Lab
• Deep Learning Lab
• Internet of Things Lab

The field of data science is fairly broad. Within the broad field of data science, there are several sub-domains. As a result, data science has many specializations. You can develop solid foundations in each of these specializations with the help of the MSc Data Science syllabus. This will also be highly beneficial if you want to specialize in a field at a higher level to get more in-depth information about that particular field.

The MSc Data Science Specializations are listed below.

MSc Data Science is a two-year PG program that is being provided via online learning by numerous institutions in India as of 2022. With the help of this MSc Data Science Distance syllabus, it is expected that students would be better able to detect and understand concepts in data science in the future by developing their abstract thinking and design skills. The MSc Data Science Distance Syllabus is provided below-

Syllabus for MSc Data Science Distance Programs First Year

The table below provides the detailed first year MSc Data Science Syllabus for distance programs-

Syllabus for MSc Data Science Distance Programs Second Year

Give below is the second year syllabus of MSc Data Science Distance program-

The majority of Indian colleges and universities source admission to their MSc Data Science programs based on candidates' performance on an entrance exam. To get admission, an applicant should attain the required minimum percentage of marks, or the "cut-off." The cutoff varies depending on the college.

There are several distinct entrance exams available nowadays. Entrance exams come in a variety of forms. There are entrance exams for universities, states, and even the national level.

Multiple Choice Questions (MCQs) and Numerical Question Answers (NQAs) are frequently used in MSc Data Science admission exams. General aptitude, logical analysis, and core science disciplines are the subjects.

Some of the significant entrance exams in India are listed here if you want to pursue an MSc Data Science.

IIT JAM

The Joint Admission Test (IIT JAM) is a national-level entrance exam conducted by the Indian Institute of Technology. For admission to master's and post-diploma programs, the exam is conducted on a rotational basis.

CUET

The Central Universities Entrance Test (CUET) is a national entrance test that offers students from all around the nation a common starting point. To be eligible for admission, you must pass the CUET exam if you want to apply to any central university or any other institution in the nation.

BITSAT

BITS, a premier university of higher education in information technology and sciences in India, conducts the Birla Institute of Technology and Science Admission Test (BITSAT).

Some other M Sc Entrance Exams are-

1. DUET- Delhi University Entrance Test
2. BHU PET- Banaras Hindu University Post-graduate Entrance Test
3. Christ University Entrance Test

The MSc Data Science Entrance Exams usually follow a very common pattern to evaluate students for admission into the course. The overview of MSc Data Science Entrance Exams Syllabus is given below-

• Section I - Quantitative Aptitude: Logical Reasoning and Verbal Ability.
• Section II: Computer Science 
• Data structures: Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs. 
• Programming concepts: arithmetic, logical, bitwise, and conditional operators, iteration, recursion, object-oriented programming 
• Algorithms: Searching, sorting, asymptotic worst-case time and space complexity, algorithm design techniques: greedy, dynamic programming and divide-and-conquer, linear search, binary search, graph search, minimum spanning trees, shortest paths. 
• Section III: Mathematics 
• Section IV: Statistics

M.Sc. Data Science books are provided by numerous authors and publishers both online and offline. The M.Sc. Data Science syllabus pdf, which is accessible online, is designed to aid with conceptual understanding. Students should invest in reference books after conducting thorough study. The best M.Sc. data science books include the following:

The M.Sc Data Science course structure is intended to contain both core and optional studies. The programme is structured into four semesters over two years and includes the Data Science M.Sc syllabus

In the first year, students are only introduced to fundamental knowledge through basic MSc Data Science subjects. Students are introduced to particular syllabus related to their specialization during the second year. The knowledge of theoretical concepts is also enhanced through practical classes. According to the  M.Sc Data Science syllabus, the thesis submission and final assessments must be completed by the conclusion of the fourth semester. The following is the course structure:

• IV Semesters
• Core and Main Subjects
• Elective and Optional Subjects
• Practical Meet-ups and Visits
• Research Project/ Thesis Submission