Masters in Data Science or Machine Learning
MSc Data Science Course Highlights
| Column1 | Column2 |
| Full Form | Master of Science in Data Science |
| Course Level | Postgraduate |
| Duration | 2 years |
| 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. |
One of the most popular courses to pursue in 2022 is data science. Due to the vast career opportunities and high demand for skilled and professional data scientists in India and abroad, many professionals and students are shifting their interest in this field.
• For this course, the average cost is about INR 2 lakh. However, the total cost is less than INR 30,000 at colleges like Fergusson College and Annamalai University.
• Normal MSc Information Science subjects are Python Programming, R Programming, Multivariate Examination, Profound Learning, Distributed computing, and considerably more.
• You can go on to work as a database architect, data scientist, data analyst, data engineer, etc. after the course is over. furthermore, effectively acquire around INR 4-8 LPA. You can make more than INR 10 LPA if you get enough experience and the right skills.
MSc Data Science Admission Process
Admission to this interdisciplinary program is done on the basis of merit (marks obtained at Bachelor’s level)
MSc Data Science Eligibility
• Common eligibility is a bachelor's degree with at least 50% of the grade point average from any recognized Indian or international college or university:
• Students in their final semester of a bachelor's program in computer science, mathematics, or statistics are also eligible to apply for the Bachelor of Computer Applications (BCA) program.
MSc Data Science Entrance Exams
Universities conduct a series of common entrance exams or tests to select students for their UG and PG courses.
List of these entrance exam
| Exam Name | Selection Procedure |
| MET 2022 | Merit+ Performance based on the entrance exam |
| Written Test | Merit+ Performance based on the entrance exam+ Personal Interview |
| Christ University Entrance Exam | Merit+ Performance based on Skill Assessment Test + Personal Interview |
Why study MSc Data Science?
Expertise and Knowledge:
This course is designed to help students become proficient in programming, analyzing, machine learning, data visualization, data analysis, and other big data science techniques and tools. across various world areas.In addition, you will become proficient at problem analysis and predicting a suitable solution. You will also learn to manage large data sets on your own with confidence.
Skills and tools for data science are in high demand:
Data science is on its way to becoming one of the IT industry's highest-paying jobs. In 2022, these kinds of jobs will surpass managerial positions as the most popular career paths. Over 2 lakh positions in this field of study are currently available across India. It is estimated that job opportunities in this field will increase by at least 40 to 45 percent annually. India is on its way to becoming the global analytics hub, following the United States.
Salary:
The national average salary for a data scientist is around INR 8.1 LPA, according to PayScale. With experience, this salary can rise to INR 20 LPA in 5 to 10 years. In well-known international companies like Amazon, Deloitte, Publicis Sapient, Cognizant, and others, the minimum percentage increase for professionals in the data science field is at least 35-40%, and it can go as high as 60-70%.
MSc Data Science Syllabus
The syllabus and course curriculum is inclusive of three main parts: Calculus, Descriptive Statistics, and C Programming. Latest technologies like ML, DL, Python, and Spark are taught thoroughly.
The following table shows the semester-wise syllabus of MSc Data Science:
| Column1 | Column2 |
| 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 |
| Cyber Security | |
| Integrated Disaster Management | |
| Semester III | Semester IV |
| Spatial Modeling | Industry Project |
| Summer Project | Research Work |
| Web Analytics | |
| Artificial Intelligence | |
| Flexi-Credit Course | |
| Predictive Analytics and Development | |
MSc Data Science Jobs and Career
Students who want to work in the computer science, IT, or big data industries will benefit greatly from taking this class.
We are all aware that data science is at the heart of the most recent trends and technologies, so the best time to pursue this path for a brighter future in technology is right now.
Tech companies, consultancies, market research firms, and the energy sector are the most common industries that employ Data Science postgraduates. You can also get a job at a research institute, college, or university if you want to teach or do research.
| Column1 | Column2 | Column3 |
| Job Profile | Job Description | Average Salary |
| Data Analyst | The main role of a Data Analyst is to translate data into plain English so that big and profitable decisions can be made in business, sales pitch, logistics, market research, manufacturing, etc. | INR 4.11 LPA |
| Data Engineer | A Data Engineer is responsible for various things like developing, constructing, testing and maintaining databases, large scale processing systems and much more. They also recommend and give ideas to improve data reliability and data quality. | INR 8.69 LPA |
| Data Architect | A Data Architect plays a very important role in a company by maintaining all the database and identify different structural and installation solutions. | INR 19.31 LPA |
| Machine Learning Engineer | An ML Engineer is responsible for understanding and transforming different prototypes of data science. They perform research, design and frame machine learning systems for efficiency and problem solving through model tests and experiments. | INR 9.58 LPA |
| Data Scientist | Data Scientists perform statistical analysis and make sense to the data important for company business or for some other analysis. | INR 7.07 LPA |
| Statistical Programmer | A Statistical Programmer develops and uses different analysis plans, validations plans and other related documents required to determine and research SAS software and related system maintenance issues. | INR 5.16 LPA |
| Data Developer | A Data Developer makes sure that the data is gathered before the development of any database. They create management methods and systems in the IT domain. | INR 6.19 LPA |
| Data Science Teacher | A Teacher or Professor of Data Science works in either college, university or institute to teach students different theory and practical subjects of data science and related fields. | As per industry standards |
| Data Mining Engineer | A Data Mining Engineer usually enhances and creates statistical and predictive models and algorithms to analyze large sets of data, and derive valuable information and insights from it. | INR 6.14 LPA |
| Database Administrator | Database Administrators used professional and specialized softwares for data storage and organization as per the need and to improve the quality. | INR 10.23 LP |
MSc Data Science Scope
One of the most popular courses in the world right now is Data Science. This course attracts a lot of students and working professionals because it equips them with the knowledge and skills they need to succeed as data scientists and analysts.
• This explosive growth in the field of data science is not likely to slow down anytime soon. Because big data plays an important role in the day-to-day commerce and digital industry, the future and scope of data science will grow in the coming years. This indicates that skilled professionals will continue to be required to meet the challenges of data science, data analytics, and related positions.
• The government plans to offer this course in all of India's prestigious and large colleges in major cities like Kolkata, Bangalore, Mumbai, Delhi, and Chennai in order to meet the demand for experts in this field.
• India is anticipated to become a specialized market for Data Science specialists worldwide, following the United States. Glassdoor says that the average salary for a data scientist in India is around INR 11,48,252 and the average salary in the United States is about USD 113,436, so you can easily find financial stability and career growth in this field anywhere in the world.
• In addition to earning money, you'll be able to learn from and collaborate with top IT engineers and data scientists. In addition, you'll be able to work on cutting-edge technologies and use them to solve a variety of top-level problems.
• Higher Learning: You can pursue a Ph.D. in a related field to become an expert and qualify to teach in colleges and universities, or you can pursue an MBA if you want to work in management.