Master Program in Business Analytics in France

Find Masters Programs in Business Analytics in France 2017

Business Analytics

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

Business analytics studies cover the technologies and skills utilized in the investigation and analysis of the past performances of businesses with the goal of gaining the proper insight to successfully drive business planning. It involves making business decisions based on statistics and data.

France, officially the French Republic, is a unitary semi-presidential republic located mostly in Western Europe, with several overseas regions and territories.

Top Master Programs in Business Analytics in France 2017

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Master's Programme in Business Analytics

Lappeenranta University of Technology
Campus Full time 2 years

The Master's Programme in Business Analytics is a modern multi-disciplinary engineering programme that is designed to provide graduates with a wide variety of hands-on business analytics skills that are extremely sought-after in industry today. [+]

Best Masters in Business Analytics in France 2017. The Master's Programme in Business Analytics is a modern multi-disciplinary engineering programme that is designed to provide graduates with a wide variety of hands-on business analytics skills that are extremely sought-after in industry today. Students finishing the programme successfully will be in high demand and have access to interesting positions in business and industry. The programme focuses on transferring both theoretical knowledge and technical skills in relevant business analytics methods, including data analytics, modelling, simulation, and multiple-criteria decision-making methods, and practical know-how on the use of the methods on real-world data in a real-world business or industrial context. The software and tools applied during the course are standard in the industry. The programme merges studies in industrial management, corporate finance, software engineering, and applied mathematics in a unique way, providing a very powerful combination of knowledge. Many courses are organised in association with companies to ensure industry relevance and the use of realistic problems and fresh data. We welcome ambitious students who are ready to work hard – in return, we offer the tools and know-how to become leading makers of the future in business and industry. Intended learning outcomes After completing the programme, you will be familiar with a wide range of business analytics methods and be able to model and solve data-based business and industrial problems independently. You will be able to: describe and use a wide variety of business analytics methods in a business or an industry context understand how business analytics can be used in business development and in developing industrial processes learn to use and to apply a selection of modern business analytics tools and software to solving real-world problems with real-world data demonstrate hands-on skills in applying business analytics to real-world business and industrial problems conduct an independent scientific research project, and report on and present it professionally Degree structure and studies The Master's programme in Business Analytics is a two-year study programme. It leads to the degree of Master of Technology, M. Sc. (Tech.), which is 120 ECTS credits. The programme includes core and specialisation studies in business analytics and minor studies in practical business and industry analytics. Core studies (19 ECTS credits) include courses on the background, basics, and tools of business analytics and business development, such as information systems in corporate management and decision-making and data bases in business analytics. Specialisation studies (77 ECTS credits) include courses on topics such as business analysis basics, systems dynamic modelling and simulation analysis, logistics and scheduling analysis, fuzzy data analysis, fuzzy sets and fuzzy logic, financial econometrics and advanced decision-making methods. Minor studies (24 ECTS credits) include practical business and industry analytics with modern BA tools and their practical application to real-world business problems with real-world data. Courses on topics such as big data in business and industry, machine learning, intelligent systems in business analysis, data mining, marketing analysis, data visualisation and pattern recognition. The Master's thesis and seminar, 30 ECTS credits, is a part of the specialisation studies. The thesis is a research project which requires approximately six months of full-time work. It is completed during the fourth semester of the degree programme. Career prospects As a programme graduate, you will be a perfect fit for the business development and business analytics teams of global corporations and SMEs. Hands-on skills in business analytics are in very high demand globally – there is a great shortage of business analytics professionals on the market. The programme is practical and career-oriented and gives you a unique multi-disciplinary education in technology and business, which is highly valued in the corporate world and industry. You will be prepared for a career in business analytics and analytical business development, whether as an analytics professional in an industrial or a service company or as a consultant. Entrepreneurship is also a realistic possibility with the pragmatic skill set you will acquire. [-]

Advanced Master In Marketing & Data Analytics (Taught In French)

NEOMA Business School
Campus Part time 12 months September 2017 France Paris

Faced with the growing digitalization of business and the multiplication of channels of interaction between consumers and brands, competitive advantage lies more than ever in the ability to understand the complexity of the market and anticipate their evolution. [+]

RECORDED IN TRAINING RNCP - LEVEL OF TITLE I (BAC +5) Faced with the growing digitalization of business and the multiplication of channels of interaction between consumers and brands, competitive advantage lies more than ever in the ability to understand the complexity of the market and anticipate their evolution. Thus the big data phenomenon today represents an unprecedented opportunity for brands to rethink their innovation, communication, distribution and services for a better customer experience. So companies need more than ever to marketing staff with analytical and predictive skills to better identify problems and make the most optimal decisions of a ROI perspective. MS Marketing and Data Analytics happens at the crossroads of marketing, technology and predictive approaches with a view to achieve better marketing performance. GOALS Understand the challenges and opportunities related to marketing decision in the context of big data Understand the anchor and the systemic and organizational complexity in connection with the digital transformation of brands Enter the methods and the most advanced technical materials operations of big data Predictive analytic mobilization for decision making and brand marketing performance ASSETS A precursor and a perfect fit positioning with current business needs An opportunity to develop or strengthen the analytical dimension of marketing decision makers A relevant educational content and combines academic teaching and managerial testimonials A didactic pedagogy and experiential mobilizing collective intelligence through different formats: projects, challenges, simulation and situational ... An animation designed in close collaboration with the most companies involved and advances in big data exploitation of marketing. THE PROGRAM CONTROL OF THE ANALYTICAL DATA BIG APPROACH TO ENHANCE THE DECISION AND MARKETING OPTIMIZATION OF THE KING FUNDAMENTALS OF MARKETING DECISION: Strategy Marketing - Consumer Behavior and the Buyer - Brand Management - Marketing and Digital Communication - Multichannel Distribution - Customer Relationship Management (CRM) - Marketing Services - Launch of New Products and Open Innovation - International marketing. ORGANIZATION AND TECHNOLOGY SYSTEMS: Digital Transformation - New Business Models and Sharing Economy - Organizational Behavior, Decision and Performance - Project Management and IT - Management Information Systems - Operations Management. METHODS AND TOOLS DATA BIG: Data Driven Marketing - Marketing Research - Research Methods Qualitative - Datamining (descriptive and predictive) with SPSS - Applied Econometrics and Time Series - Relational Database and Business Reporting (SQL, Spreadsheets and Spreadsheets; SAS , Python, R) - Data Privacy and Ethics - Data Visualization. BIG DATA ANALYTICS: Marketing ROI and Optimization - Marketing Analytics - Sales and Business Analytics - Revenue Management and Pricing - Supply Chain and Operations Analytics - Market Forecasting - SEO / SEM - Social Media Intelligence - Semantic and Text Mining - Web Analytics - Retail Analytics. SKILLS AND HUMAN SKILLS: Creative Thinking and Emotional Intelligence - Leadership and Team Building - Personal Development and Self Knowledge - Personal Branding - Communication and Persuasion - Conflict Resolution and Negotiation. RESIDENTIAL SEMINAR '' BIG DATA IMMERSION '' - PARTNERSHIP WITH THE IMPERIAL COLLEGE LONDON The participants of the MS Marketing & Data Analytics will have the opportunity to attend an intensive seminar of 3 days in London at KPMG Centre for Advanced Analytics at Imperial College. The educational program will meet some partner companies from central and leading faculty researchers around big data challenges in marketing and strategy and analytical levers for innovation, value creation and performance. Imperial College is a multi- disciplinary university, based in South Kensington in central London, specializing in sciences, management, engineering and medicine. It is regularly ranked among the 10 best universities. PROJECTS AND SIMULATION SIMULATION GAME ON LINE Markstrat Designing complex environmental marketing strategies and make decisions for High Tech products for differentiated markets. Identify and analyze the right data to the declination of strategic and operational marketing policies for a better performance against competitors. CRM SIMULATION SUMMARY scenario-based exercise and immersion in farms with a CRM database in collaboration with a partner brand. Apprehension, contextualization and analysis of multi-channel customer data to improve the efficiency, optimization of CRM campaigns and increasing customer value. STRATEGIC CAPSTONE Synthesis Project and cross on a data analyst marketing mission and speaker after all MOH seminars. This is an opportunity to mobilize statistics and predictive approaches to marketing decision making in a given sector (FMCG, B2B, pharmaceutical, banking and insurance, ...) or a specific channel (mobile analytics, social analytics, digital analytics ...). PROFESSIONAL THESIS The thesis consists of a research carried out by the participant under the direction of a supervising expert. This is an exercise in deep reflection to review and solve a problem by combining review of the academic literature and a qualitative field study and / or quantitatively to put into perspective the results and provide operational recommendations. MS Thesis is an opportunity to deepen knowledge in a specific field and to attest to the expertise of the student in the context of a professional valuation. SOME BUSINESS TARGETS marketing analyst Master data manager / analyst Business analyst CRM Analytics Manager Consumer & Market Knowledge Analyst Head of digital product Chief data officer Market (ing) researcher Digital analyst / web analytics Customer and multichannel manager Customer experience manager Marketing data expert / consultant Consultant / Project Manager Big Data marketing consultant analytics Digital data officer / marketing manager digitalv Data mining manager Data planner Responsible for customer knowledge / standby Market Consultant SI / SIM Director customer journey Brand Reputation Manager Community Manager and Social Intelligence PRACTICAL INFORMATION recorded training RNCP. Heading Level 1 (+5). part-time training provided on the campus of Paris. CONDITIONS OF ADMISSION Open to candidates holding a Bac + 4/5, experienced managers, working professionals ADMISSION Selection of application, motivation interview and English test APPLICATION FEE € 100 DURATION 12 months (400 hours) - 3 days (Thursday, Friday, Saturday) every 3 weeks in parallel mission in business BACK October 2016 COST OF TRAINING € 15.300 SESSION ADMISSION 2016-2017, contact Gwenaelle TOULLEC (gwenaelle.toullec@neoma-bs.fr) [-]

Master in Science Business and Innovation

University of Amsterdam
Campus Full time

The Science, Business & Innovation (SBI) group at VU University is all about innovation and the successful valorization of scientific knowledge. SBI explores both the science behind innovations and the business and social aspects of innovations. [+]

Best Masters in Business Analytics in France 2017. Commercializing Scientific Knowledge in Business and Society The Science, Business & Innovation (SBI) group at VU University is all about innovation and the successful valorization of scientific knowledge. SBI explores both the science behind innovations and the business and social aspects of innovations. Scientific themes The central scientific themes are Life & Health and Energy & Sustainability. Both themes are of the utmost importance for government organizations, business and society. We live in an era where ecological, social and sustainable energy usage and health become increasingly important. Energy & Sustainability and Life & Health are the innovation themes of the present and of the future. Educational programmes Together, the VU faculties of Sciences, Economics and Business Administration and Social Sciences offer a bachelor's degree programme and a master’s degree programme in Science Business and Innovation (SBI). Both programmes are rooted in the SBI research effort and aim to train academic professionals in the field of science driven innovation in business, knowledge institutes and government. Research Dynamics of Knowledge Valorisation Our research programme is called Dynamics of Knowledge Valorization. Within this programme we identify three research strands: Valorisation transferring knowledge towards the business community Valorisation embedded in research Valorisation in a triple helix (University-Industry-Government) constellation These strands are intertwined with research at the founding faculties, in the fields of: Life & Health Energy & Sustainability Embedded Entrepreneurship Technology & Innovation. [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months

Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. [+]

In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]