MSc Data Studies is an interdisciplinary degree programme that focuses on the key subjects of calculus, descriptive statistics, and C programming, in addition to understanding multiple variables in the context of a large amount of real-world data. This two-year research-based programme is open to candidates who have finished a bachelor’s degree in statistics, mathematics, computer science, or engineering. Christ University is a leading university that provides a variety of postgraduate programmes, namely in data science. Enrollment is usually based on the results of the entrance test, which is accompanied by a written examination and/or an individual interview.
Data Science is expected to be among the most popular courses in 2021. Because of the vast employment opportunities and increasing need for skilled and competent data scientists in India and abroad, numerous learners and experts are moving their focus to this field. Python programming, R programming, multivariate analysis, deep learning, cloud computing, and many more MSc Data Science topics are popular. For more information, see the BSc Data Science Curriculum.
After finishing the program, you can work as a Data Scientist, Data Analyst, Data Engineer, Database Architect, and other positions that pay around INR 4-8 LPA. You can make more than INR 10 LPA after obtaining the necessary abilities and acquiring sufficient experience.
Entrance to this interdisciplinary programme is based on merit (grades from a bachelor’s degree). Different institutions have their own admissions procedures:
As a result, the admissions process is particularly college-specific, and multiple exams are used as part of the selection process.
|Master Of Arts [MA]||Master Of Arts [MA] (mass Communication & Journalism)||Master Of Arts [MA] (comparative Indian Literature)|
|Master Of Arts [MA] (hindi)||Master In Social Work [MSW]||Master Of Arts [MA] (education)|
At least 50% cumulative marks in one of the following Bachelor’s degrees from any recognized university in India or abroad are required.
Individuals in their final semester who are enrolled in one of the above-mentioned programmes are also able to qualify.
To choose candidates for their UG and PG programmes, universities hold a sequence of common entrance exams or tests. The following is a list of these admission exams:
|Exam Name||University/College||Selection Procedure|
|MET||Manipal University||Merit+ Performance based on the entrance exam|
|GSAT||GITAM University||Merit+ Performance based on the entrance exam|
|Written Test||Fergusson College||Merit+ Performance based on the entrance exam+ Personal Interview|
|Christ University Entrance Exam||Christ University||Merit+ Performance based on Skill Assessment Test + Personal Interview|
|Full-Form||Master of Science in Data Science|
|Eligibility||Atleast 50% in Bachelor program in either Computer Science, Statistics or Mathematics|
|Admission Process||Merit + University Entrance Test or Written Assessment Round, followed by Personal Interview or Counselling|
|Course Fees||Around INR 2-4 Lakhs|
|Average Salary||INR 4-8 Lakhs Per Annum|
|Job Positions||Data Analyst, Data Engineer, Machine Learning Engineer, Data Scientist, Data Architect, Database Administrator, Data Solutions Analyst, Business Analyst, Data Mining Engineer, etc.|
|Top Recruiting Companies||Tredence Inc., Wipro Ltd., Oracle, Cartesian Consulting, TEG Analysis, Deloitte, GlobalAnalytics, IBM, Amazon, MuSigma, etc.|
Data Science is a branch of study concerned with the gathering, analyzing, and processing of different data and information in order to derive answers. It is concerned with the interpretation of a large amount of organized and unstructured data using specialized knowledge in order to obtain essential insights. These actions can only be carried out by specialists with specialized understanding in the world of Data Science.
Data science is a term that encompasses a variety of scientific disciplines such as mathematics, calculus, graphs, charts, algorithms, computer programmes, and much more. It’s a branch of science that necessitates knowledge of business or commerce-related areas.
In India, numerous institutions and universities provide relevant programmes and specializations in this discipline. However, in order to follow any curriculum in the discipline of data science, students must have a strong background in mathematics, computer applications, and programming.
Individuals can engage in national or international companies, commercial or government organizations, technical or non-technical positions after finishing their degree and, in some situations, post-graduation.
In India, many schools and universities offer master’s degree programmes in data science. Candidates must, however, pass required entrance tests in order to get admission to these science institutions and universities. Students can take one of the following admission exams to be considered for a master’s degree in data science:
The table below lists some of India’s leading MSc Data Science Universities:
|Collegedunia Rating (out of 10)||College Name||Location||Total Fees|
|8.6||Vellore Institute of Technology (VIT)||Vellore||INR 1.61 Lakhs|
|8.4||Fergusson College||Pune||INR 17,955|
|7.6||Annamalai University||Chidambaram||INR 27,495|
|7.0||Manipal University||Manipal||INR 3 Lakhs|
|6.6||GITAM University||Visakhapatnam||INR 2 Lakhs|
|6.0||Amity University||Gurgaon||INR 2.09 Lakhs|
|5.9||Dhirubhai Ambani Institute of Information and Communication Technology||Gandhinagar||INR 7.3 Lakhs|
|5.9||Techno India University||Kolkata||–|
|5.9||University of Kalyani||Kalyani||INR 1.65 Lakhs|
|5.4||Chandigarh University||Chandigarh||INR 1.3 Lakhs|
Calculus, Descriptive Statistics, and C Programming are the three primary sections of the curriculum and program content. The most up-to-date technologies, such as machine learning, deep learning, Python, and Spark, are comprehensively covered.
The MSc Data Science semester-by-semester curriculum is shown in the table below:
|Semester I||Semester II|
|Mathematics for Spatial Sciences||Spatial Big Data and Storage Analytics|
|Applied Statistics||Data Mining and Algorithms|
|Fundamentals of Data Science||Machine learning|
|Python Programming||Advanced Python Programming for Spatial Analytics|
|Introduction to Geospatial Technology||Image Analytics|
|Programming for Spatial Sciences||Spatial Data Base Management|
|Business Communication||Flexi-Credit Course|
|Integrated Disaster Management|
|Semester III||Semester IV|
|Spatial Modeling||Industry Project|
|Summer Project||Research Work|
|Predictive Analytics and Development|
Apart from these basic programs, you will also need to select electives to fulfill your credentials.
|MSc Data Science Electives|
|Deep Learning||System Dynamics Simulation|
|IOT Spatial Analytics||Spatial User Interface Design and Implementation|
|Research Modelling and Implementation||Genomics|
|Exploratory Data Analysis||Multivariate Analysis|
|Stochastic Process||Programming for Data Science in R|
|Hadoop||Image and Video Analytics|
|Internet of Things||Identification and Data Collection|
People can study data science classes to learn how to deal with various forms of data. Individuals have a number of job alternatives in this profession, which means they have a lot of options. Graduates can specialize in a range of fields after completing these courses, including research laboratories, colleges, universities, government offices, multinational corporations, market research firms, technology firms, consulting, and the energy sector.
Tech corporations, consultancies, market research firms, and the energy industry are all typical employers of Data Science postgraduates. You can also work in research organizations, colleges, or institutions if you wish to educate or conduct research.
Data Science Professions are divided into four categories:
Aside from these, you have some other possibilities, which we’ve included below along with the job requirements and typical compensation.
|Job Profile||Job Description||Average Salary|
|Data Analyst||A Data Analyst’s primary responsibility is to convert data into simple English so that important and lucrative choices in business, sales, logistics, market research, and production can be taken.||INR 4.11 LPA|
|Data Engineer||A Data Engineer is important for a range of tasks, including database development, construction, testing, and maintenance, as well as large-scale processing systems. They also make recommendations and offer suggestions for improving data performance and consistency.||INR 8.69 LPA|
|Data Architect||A Data Architect is critical to a company’s success since they manage all of the databases and examine distinct architectural and installation options.||INR 19.31 LPA|
|Machine Learning Engineer||An ML Engineer is in charge of comprehending and transforming various data science concepts. Through model testing and experiments, they conduct research, develop, and construct machine learning algorithms for effectiveness and problem resolution.||INR 9.58 LPA|
|Data Scientist||Data Scientists undertake statistical analysis and develop a sense of data that is relevant to the company’s business or other analyses.||INR 7.07 LPA|
|Statistical Programmer||A Statistical Programmer creates and implements various analysis plans, validation plans, and other relevant documentation in order to identify and investigate SAS software and system maintenance problems.||INR 5.16 LPA|
|Data Developer||Before any collection is developed, a Data Developer ensures that all necessary data is obtained. In the IT domain, they develop management strategies and systems.||INR 6.19 LPA|
|Data Science Teacher||A Data Science Professor or Teacher teaches students various theoretical and practical subjects in data science and associated fields at a college, university, or institute.||As per industry standards|
|Data Mining Engineer||A Data Mining Engineer improves and develops statistical and prediction methods and algorithms in order to analyze enormous volumes of data and extract useful information and insights.||INR 6.14 LPA|
|Database Administrator||Database administrators employed professional and specialized tools to store and organize data according to requirements and to increase performance.||INR 10.23 LPA|
Data science specialists are in high demand all around the world, and career possibilities in this field are predicted to grow by 35 to 40% in the next few years. Along with the prospects, different trends and subjects in the world of Data Science are projected to grow in the future years.
Data science will focus on the new regions and themes in the next years. The following are among the major Data Science developments and topics:
MSc Data Science is a two-year master’s degree programme in data science that covers computer science, machine learning, deep learning, artificial intelligence, statistics, and mathematics.
This is one of the most popular data science master’s degree programmes in India, with institutes such as Annamalai University, Fergusson College, VIT Vellore, Chandigarh University, and others offering it. Check out MSc Data Science to learn everything there is to know about this degree, including admissions, qualifications, institutions, curriculum, careers, and future prospects.
Individuals might consider pursuing a career in this industry because there are numerous opportunities available all over the world. It is the only way for businesses all over the world to acquire outcomes or insights into their operations, as well as advice on how to make critical business decisions. Students can gain valuable experience in a variety of job disciplines, including data designers, analysts, scientists, architects, and many others. After finishing their post-graduate studies in this discipline, students can become professors by instructing students in colleges or universities.
The following are some of the most popular Data Science employment roles:
Yes, becoming a data scientist is a wonderful career choice if you want to take on some difficulties and learn about the various parts of data science in the analysis industry. According to Glassdoor, the average salary for data scientists is approximately INR 11,48,252 and the international average wage is around USD 113,436. This suggests that as a data scientist, you can likely fulfill your demand for professional advancement and security.
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