Big Data & Analytics
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New answer posted
a year agoContributor-Level 10
Yes, as per the reviews and the high demand of the M.S. in Data Visualization programme at parsons School of Design it is clear that the programme is considered as a good course offering practical approch along with the theoritical knowledge with in the course durationm of 1 year as a full time program.
Students who applied for the Data Visualization programme at parsons can pursue their career in the field of design, data analysis, and computing in a differnt fields.
New answer posted
a year ago
Contributor-Level 6
Aligarh Muslim University (AMU) does not admit students to its B.Tech programs through CUET-UG. Instead, admissions are conducted through the AMUEEE (AMU Engineering Entrance Examination).
AMU offers B.Tech in the following specializations:
• Chemical Engineering
• Civil Engineering
• Computer Engineering
• Electrical Engineering
• Electronics Engineering
• Mechanical Engineering
• Petrochemical Engineering
• Food Technology
Currently, AMU does not offer B.Tech in Data Science.
New question posted
a year agoNew answer posted
a year agoContributor-Level 10
Dublin Business School offers highly reputed MSc programme in Data Analytics. The programme seeks to address the constantly increasing need for data analytics experts across industries, including those with programming skills, data analysis with related context, and graph technology, which is thought to be an efficient way to support the creation of complex AI applications.
New answer posted
a year agoContributor-Level 9
With a graduation rate of 47%, your possibilities for a Master degree in Data Science, Big Data Analytics, or MCA are restricted as many colleges require 50% or higher. However several private colleges and distant learning programs provide flexibility.
Colleges and Exams: Lovely Professional University (LPU) offers MCA and M.Sc Data Science (LPUNEST).
Amity University - M.Sc Data Science and MCA (Direct Admission)
MIT-WPU Pune: MCA (Direct/Entrance-Based)
IGNOU - MCA (Distance Mode with No Percentage Barrier)
DY Patil University: MCA, M.Sc. Data Science (Merit-Based)
New answer posted
a year agoContributor-Level 10
ASU MS in Data Science Analytics and Engineering course is eligible for an Optional Practical Training for up to 24 months. This work authorization period may help international students gain skills and experience in the U.S. To take admission to this course, the applicants must have a Bachelor's or Master's degree in Engineering, Computing, Mathematics, Statistics, Operations Research, IT or a related field. A minimum GPA of 3.0 is required. Other requirements are given as follows:
- English language proficiency score
- Academic transcripts
- Professional resume
- Written statement
Check details from here about Arizona State University MS in
New answer posted
a year agoContributor-Level 6
Hey there! So, for Big Data Analytics MBA at NIU, here's the scoop:
Admission Requirements:
Minimum 50% marks in graduation
CAT/MAT/NSAT entrance exam scores accepted
Entrance Exam Cutoffs:
CAT: Minimum 60% percentile
MAT: Minimum 75% percentile
NSAT: Around 55-60%
That's the cutoff marks required for MA
Hope this helps you accordingly!
New answer posted
a year ago
Contributor-Level 10
USA offers Masters of Science in Data Analytics in some of the top ranked universities for international students. Some of the universities are given as follows:
- Harvard University
- John Hopkins University
- New York University
- Roosevelt University
- Yeshiva University
- Arizona State University
New answer posted
a year agoBeginner-Level 5
To apply and join the Bachelor of Business Administration (BBA) in Data Analytics programme at Jawaharlal Nehru Technological University Hyderabad (JNTUH) first Apply for the programme on the JNTUH website then JNTUH shortlists students based on their scores in entrance exams like TS EAMCET, GATE, or GPAT then Selected students are called for counseling rounds and after that you will be given admission.
New answer posted
a year agoContributor-Level 9
The Big Data landscape is vast and constantly evolving, but there are plenty of resources available online and offline to help you gain proficiency. Depending on your interest area (data storage, processing, analytics, or machine learning), you can choose specialised courses or certifications.
For a complete roadmap:
- Start with foundational courses in Big Data tools and technologies (Hadoop, Spark).
- Explore advanced topics like Machine Learning, Data Pipelines, and Cloud Computing.
- Pursue certifications from industry leaders (AWS, Google Cloud, Cloudera).
Let me know if you need any recommendations for specific courses or further details!
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