M.Sc. in IT 

at Malwanchal University, Indore

Listed below are the the top Medical courses with lucrative salary prospects.

Both are popular job roles, as per the World Economic Forum report. The key differences between the two are as follows:

• The Data Analyst collects relevant data from various sources to filter and analyze it. The data scientist gathers sizable amounts of structured and unstructured data while performing data mining.
• Education: To become a data analyst, you can apply with a Bachelor's degree in math, Statistics or a related field. Data scientists typically pursue a master's Diploma or degree in data Science.
• Salary: The salary of a data scientist is usually higher than that of a data analyst. According to global estimates, a data scientist can earn around $100,000 per year, whereas a data analyst can earn around $70,000.

Yes, a candidate who has completed MSc in IT course a become a data scientist. The minimum qualifications required to apply for the position of Data Scientist may vary depending on the company. Some companies, recruit graduates in relevant degrees while other might recruit candidates who have completed Masters or PhD degree.

Apart from academic qualifications, work experience also plays a major role in selection process of many companies for the profile of Data Scientist.

Yes, many books are recommended for MSc IT students apart from their regular syllabus:

• The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win by Gene Kim.
• The Pragmatic Programmer: From Journeyman to Master by Dave Thomas.
• The Mythical Man-Month: Essays on Software Engineering by Frederick P. Brooks Jr. 
• The Unicorn Project by Gene Kim.
• The Information: A History, a Theory, a Flood by James Gleick.

MSc in IT and MCA are courses in the field of Science and Technology. They are different in some aspects which are mentioned in the table below:

Note: The information is taken from various external sites and may vary.

The core subjects covered in an MSc in IT program are: Computer Simulation and Modelling, Advanced Computer Networks, Image Processing, and Advanced Database Systems in the 1st year. For the 2nd year, Information Security, Artificial Intelligence, Distributed Computing, and Computer Vision subjects are included in the curriculum.