Big Data & Analytics

Dublin Business School admission requirements for MSc in Data Analytics are given below:A Level 8 Honors bachelor’s degree with a minimum second-class division (2.2) award or above in a cognate area. Cognate subjects include Data Science, Computer Science, Technology, Networking, Information Systems, Engineering, Mathematics, General Science, Statistics, Data Analytics, or related disciplineOther degrees are also accepted, so check with the university’s official website to know the exact requirementsAlso, note that due to the Mathematical nature of the content, the candidates will be required to show enough competency in Mathematics, based on prior learning or professional experienceEnglish language proficiency scoreCheck more about Dublin Business Schools MSc in Data Analytics from here

Birmingham City University offers the MSc course in Big Data Analytics for international students. Some of the features of this programme includes the following:The course will focus on subject areas such as data mining, big data management, and advanced statistics.It will help the student to develop skills in key analytical and problem solving, aptitude research, academic writing and time management. Some of the reasons why students should choose this programme at Birmingham City University is given as follows:Focuses on research-led, and practice driven teaching The course will offer professional placement options The course has staff and faculty that is experienced in the field of data analyticsThe university has excellent industry partnerships

Illinois Institute of Technolofy offers the MS in Data Sciences course for international students. Some of the features of this programme are given as follows:The course can help the students to gain professional expertise through Illinois Tech Elevate programme that is offered. It also helps in gaining experience by including various research projects, internships, competitions and short courses. Some of the career related facilities offered to the students are a personalized academic and career mentorship, and other features of the programme include opting for full-time, part-time, online or campus mode for study. A few of the career opportunities given to the students after graduation are Data Scientist, Machine Learning Engineer, Data Systems Designer, and Master Data Analyst.

The industry is experiencing a considerable need for both VLSI design and data analytics. Your job aspirations and personal hobbies may influence your decision between the two. The need for individuals with expertise in data management, analysis, and interpretation has been developing in the field of data analytics. Nevertheless, VLSI design, which has applications in fields like chip design, is essential to the semiconductor and electronics industries. The course curriculum for both domains at the Manipal School of Information Science is much more advantageous, with experienced faculty and robust practical classes. Major semiconductor companies like Mediatek, Intel, Qualcomm, etc., and major industries in data analytics Paypal, Amazon, Cisco, etc. visit the campus every year for placement prospects. Therefore, pursuing both courses from this institute is advantageous as both of them offer better placement as compared to others. Rest it depends on your personal choice of the subject to go for.