Data Science

Having earned an 8.27 CGPA in your undergraduate program, you may have great scope for admission into the M.Sc. Data Science programme at VIT Vellore, where admission is usually based upon academic performance and entrance results. VIT Vellore conducts the VIT Masters Entrance Examination (VITMEE) for M.Sc. programs, and the entrance requirements are usually a commendable academic record in any of the relevant subjects. A CGPA of 8.27 is considered competitive, but the score must meet the VITMEE requirements and all eligibility criteria. For further details regarding admissions and entrance exams, please refer to the official website of VIT Vellore.

Since many universities accept students from a variety of backgrounds, it is feasible to pursue a B.Sc. in Data Science with a background in accounting and commerce Here how

Eligibility: The majority of universities demand that applicants have a 10+2 degree in statistics or mathematics. Some universities provide foundational modules or bridge courses to assist you qualify if your background lacks certain disciplines.
Bridge Programs: To increase eligibility sign up for a certificate programme or take more online courses in programming statistics or fundamental mathematics.
Colleges and Universities: Data Science programs with flexible entry criteria are available at institutions like Christ University and Jain University and online learning environments like Coursera or edX.
Building Skills: Before applying concentrate on mastering analytical tools and programming (Python, R).
Examine universities that provide non-technical backgrounds with freedom.

Yes, many online learning sites offer courses in Data Science and Cybersecurity especially for the second-year B.Tech students. Noticeably, sites such as Coursera, edX, Udacity, and LinkedIn Learning have specialised programs in these areas. You will get various courses from beginner to expert level on Data Science, usually with projects hands-on- done by renowned schools like Stanford, MIT, or IBM. Courses in Cybersecurity include Cybrary, Udemy, and Coursera, with a focus ranging from introductory aspects to advanced topics such as ethical hacking, network security, and cryptography, respectively. These courses can be flexible enough to be incorporated with respect to regular studies. 

Harvard University- Of course, it is accepted as one of the premier universities where one can pursue data science.

The data Science programme at Harvard is actually placed under the Harvard John A. Paulson School of Engineering and Applied Sciences-a center with world-class faculty and up-to-date research facilities as well as numerous other resources.

 An interdisciplinary method has been adopted by Harvard; that is, combining computer Science and statistics-with every other field possible-in order for the students to be extensively trained for the field of data science.

They have world-class research centres and institutes that are working on big data, machine learning, and artificial intelligence. This truly gives the needed exposure for the students to the real experience and partnership. Besides that, a student can almost simply not ignore rich alumni and industry network when one says that nothing stands between him and his career or internship aspirations. 

According to the most recent cutoff information Christ University in Bangalores M.Sc in Data Science program requires a minimum of 50% of undergraduate credits from an accredited university. BCA, B.Sc (Computer Science, Mathematics or Statistics) BE/B.Tech, or its equivalent are among the degrees that qualify. A personal interview a skill assessment test, and an analysis of prior academic achievement are the basis for admission. For two years the total program fee is roughly 4.32 lakh. Additionally, to prepare students for careers in data science the course integrates industry-relevant training, practical projects, and research-oriented learning.?

The M.Sc. in Applied Data Science of Indiana University-Purdue University Indianapolis (IUPUI) aims to prepare candidates with the expertise of handling big data set management and valuable insights' derivation. The programme specifically focuses on core competencies such as data analysis, infrastructure, and cloud computing. Skills such as data mining and data visualization will be learned so that students are prepared for the role of a data scientist, data analyst, or analytics manager.

It also allows for specializations like sports analytics, crisis informatics, and user experience design. This allows students to focus education around certain interests or passions. The informatics curriculum includes courses in relational databases, deep learning, and cloud computing. 

The students can directly apply for the Online Certificate Program in Data Science and Machine Learning offered by IIT Delhi without having to write any entrance test. Applicants are accepted throughout the year and awarded a seat according to organizational priority, education level and work experience. This means the program takes 12 weeks and the average time one takes to complete the activities for the week is 6- 8 hours. Program fee is precursor of rupees 30,000 and approximately five hundred candidates are chosen for this programme each year. No prior professional background in aerospace is required; any bachelor's degree holder with minimum programming, math knowledge is eligible to apply.