Data Science

BSc in Data Science and Business Analytics is one of the most popular courses of Indian School of Business and Finance. When it comes to placements, institute provides good placements. The course-wise placement details are yet to be released on the official website. Meanwhile, check the overall key highlights of ISBF placements given in the table below:

The fee structure for the B.Tech in Artificial Intelligence and Data Science program at K L College of Engineering varies among institutions At Koneru Lakshmaiah Education Foundation University the total cost is 1,015,000 with 275,000 for the first year and 260,000 per subsequent year KCC ITM charges 50,000 per semester excluding additional fees. MIT World Peace University annual fee is 3,55,000. Verify details directly with the university for accuracy and stay updated on any changes Best wishes for your academic pursuits.

LMU Munich MSc Data Science admission requirements are given below:

• A Bachelor of Science degree in Statistics or Informatics or related disciplines is required
• Excellent knowledge in Statistics or Informatics
• Overall average grade details should also be checked before applying
• Proficiency in English: At least B2 CEFR or equivalent

The top-ranked Indiana University MS in Data Science programme attracts aspiring Data Science professionals from around the globe. As per Fortune Education, MS in Data Science programme of the university is placed at #8th position. To get into this program, the applicants are required to have a bachelor’s degree and English language proficiency score.

KU Leuven is a popular university in Belgium and Ludwig Maximilians University Munich is a popular university in Germany. Mentioned below is the comparision between these two university for MSc in Artificial Intelligence at KU Leuven (Belgium) and MSc in Data Science program at LMU Munich:

• MSc in Artificial Intelligence at KU Leuven (Belgium) costs INR 5.93 L
• There is no tuition fees for MSc in Data Science at Ludwig Maximilian University

Therefore, it is better to study MSc in Data Science at Ludwig Maximilian University than MSc in Artificial Intelligence at KU Leuven.

Applicants who meet the below requirements get admission into Ludwig Maximilian University of Munich MSc Data Science:

Graduate Level Eligibility Requirements

• Bachelor’s degree in relevant discipline with good scores from a recognised university

• Meet the English Proficiency language requirements

• Additional test scores of GMAT/GRE (if asked)

Teesside University entry requirements for MSc in Data Science course are given below:

• The applicants are required to have at least UK 2.2 Honors degree, or equivalent, in a subject related to Science, Do check out the entry requirements for Indian applicants before applying to the university
• IELTS score with 6.0, with no component below 5.5

• Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensic

The Data Science programme at AU is unmatched in terms of academic quality, professional development, and mentorship. Three start dates will be available for the programme each year: January, May, and August. On a rolling basis, admissions decisions are made and applications are accepted. The new online Master of Science in Data Science degree from American University is intended for working professionals who want to pursue lucrative professions in data science.

To get into TU Dortmund University MSc in Data Science, the applicants must have the following:

• The applicants must have completed a BSc programme in Mathematics, Statistics, Computer Science or related fields
• TOEFL / IELTS score

SOT PDEU curriculum for M.Tech is spread across four semesters. Below are the electives available for M.Tech Data Science students:

• Advanced Algorithms and Optimisation
• Time Series Analysis and Forecasting
• Applied Machine learning
• Mining Massive Data Sets
• Computer Vision 
• Big Data Analytics
• Social Network Analysis
• Natural Language & Text Mining
• Machine Learning in Cyber Security