Today’s business is far more complex than ever. The increasingly internationalized, mobile, network-based and real-time business behaviors are making the market much more deeply segmented with countless market variables involved.
In sectors like finance, retailing, logistics, e-commerce and numeric industry, real-time adjustments responding to ever-changing market data are winning profit and cutting cost to an amazing amount for many companies. In such a market environment, it’s no longer possible to rely on traditionnal search and analysis techniques.

Companies are like fishermen who could throw their net into a lake where they know the position of fishes, based on traditional know-how. But we are facing a vast ocean in which numerous fishes swim irregularly following unknown routes. We can’t just spread the net the way our experience tells us. Instead, we need to predict accurately and respond timely based on the seemingly unordered changes so that every net spread lands where exactly the fish group is. This far beyond what current know how can achieve.
Companies are like fishermen who could throw their net into a lake where they know the position of fishes, based on traditional know-how. But we are facing a vast ocean in which numerous fishes swim irregularly following unknown routes. We can’t just spread the net the way our experience tells us. Instead, we need to predict accurately and respond timely based on the seemingly unordered changes so that every net spread lands where exactly the fish group is. This far beyond what current know how can achieve.

The needs for analysis and data processing are tremendous. The inflation of data on the Internet and the evolution of the technologies allow great innovations thanks to a finer understanding of phenomena and capacity of prediction. The stakes in Big Data are huge, but companies already have difficulty recruiting talents.

According to Gartner, 4.4 million jobs will be created in 2015, but only 40 % can be provided.
To face this situation, ISMAC creates a MBA BIG DATA(MASTERS OF BUSINESS ADMINISTRATION BIG DATA). The purpose is to train future Dated scientists, operational and able to accompany companies in their digital transformation, and to offer them new opportunities of innovation.

 

Big Data in French Universities

With the development of new technologies, the need for talents in the market is growing much faster than the speed courses in universities are upgraded. With only 5 years’ development, the industry of big data analysis has been translated from an idea to reality which is influencing the world at a speed unimaginable. Compared with this phenomenal speed, courses to train professional talents in this field has just started to exist and not much has been achieved in this respect.
In France, the following courses training professionals in this field can be found:

  • HEC Paris: ”Stratégie digitale et Big data "
  • Télécom Paris: "Big data: Gestion et analyse des données massives"
  • GMSI Grenoble: "Big data: Analyse, Management et valorisation responsable"
  • IESGE: “Big data"

We can see that currently only the above-listed universities open related courses. Though time-honored and prestigious, these universities charge prohibitive tuition and the limited number of students enrolled can not satisfy current market demand.
The result is that many young people who are interested in the major of big data analysis can not find a suitable university or training institution to realize their dreams. To accommodate to such situation, ISMAC business school offers this MBA course on big data analysis which is novel, practical and not very expensive.

Faculty: 2 doctors from Cambridge University, 1 doctor from NOEMA business school, 1 doctors from ENSAI and 2 top executives from leading companies in the big data industry form our excellent team, one which is equipped with rich teaching experiences and capable of imparting knowledge of big data analysis with an easy-to-understand approach. Applicants are not required to have computer background. By the way, the MBA course is wholly in English, so applicants need to be capable enough in understanding English.

MBA Program

To use data digging tools to dig and filter information requires users to learn to build the model and order for data filtering. The purpose of this process is to turn those numerous unordered data into logical data that can be analyzed by human. This process is also an important part of the course. In this course, you need to learn the following sub-courses:

  • Data Science
  • Basic  programme with Python
  • Pattern Discovery in Data Mining
  • Text retrieval and search engines

After transferring the huge number of illogical and unordered data into manually-analyzable data through digging and filtering system, we still need some statistical and analytic methods to reprocess these data into visible analytic results. In this part, we have the following courses:

  • Natural  Language Processing with NLTK
  • Digital Tools
  • Database Management

After we get the final analytic results, our brains are needed to make decisions. Expertise in finance, project management, business strategy, etc. together with the analytic results of big data, is necessary to make right decisions and to lead the group into the battleground.

  • Business Fondation
  • Entrepreneurship : Launching en Innovative Business
  • Strategic Management

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