Big Data refers to the large volume of data that business encounters every day. The origins of big data can be trailed back to the mid 1990′s when John Mashey, working at Silicon Graphics, USA was involved in processing and analysis of large datasets. Analysis of data by humans can be a time-consuming activity and thus use of sophisticated information systems can be utilized to crunch this enormous amount of data. This data is not only voluminous, but they are from various sources, the system can analyze the data with varied processing time, and it is important to verify the uncertainty and trustworthiness of the data. Modern intelligent computing can process voluminous data at superfast speed. Intelligent computing is influenced by several factors such as (i) changing technologies, smart devices, sensors; (ii) increasing technological complexity that can process data faster; (iii) human-machine interaction and its abilities. What any organization does with these data-sets is of tremendous importance.
Data Science is an interdisciplinary field pertaining to processes able to extract knowledge or insights from data; be it structured, unstructured, or semi-structured data. Coupled with Artificial Intelligence, Data Science can deliver more efficiently a vast array of solutions to find appropriate and meaningful information from those huge pools of data.
Students will develop their general management skills and explore the different ways Data Science, Big Data and Artificial Intelligence can improve decision making in a business or a social setting.
Industry projects and visits throughout the year will pace the academic experience and give students the opportunity to gain valuable work and real-life experience.
Students will have the chance to participate in different seminars, workshops and meetings, where companies come to our campus to meet their future managers and high-quality interns. The Montpellier Business School careers center and alumni network are also providing students with a full range of solutions and tools to enhance their career.
In the era of Industry 4.0, it is imperative for the business managers to have hands-on expertise in the domain of Data Science. Our MSc will enable students to understand, analyze and act in any organizations in a wide range of sectors and countries, transformed by data science, big data and artificial intelligence. You will be better equipped with theoretical, methodical and practical skills to deal with the complex information systems. Upon graduation, our students can either follow an academic (Phd, DBAs), a professional career or become entrepreneurs.
Examples of possible careers:
You can apply until:
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Minimum required score:
The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.Schedule IELTS
Minimum required score:
The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.Schedule TOEFL®
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.
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