Industry-Driven Master Certificate in
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1 Industry-Driven Master Certificate in Data Science Gianluca Reali, EGI Community Forum 2015, November 12, 2015 Industry-Driven Master
2 Outline External Contexts Academic Program Design Approach Analysis of the LinkedIn Data Mix of Competences Academic programs at the University of Perugia Conclusion and Further Activities 02 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
3 External lcontexts t 03 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
4 External lcontexts t Gartner Hype Cycle for emerging technologies source: 04 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
5 External lcontexts t Focused Market Analyses Current Momentum Source: SCM World + Big Data Analytics, Mobile Technologies And Robotics Defining The Future Of Digital Factories, Louis Columbus, Forbes, February EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
6 External lcontexts t Retail Financial Services Healthcare Energy Telcos Wb/S Web/Social/Media l/md Government Manufacturing 06 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
7 External lcontexts t Related academic initiatives worldwide School Degrees Undergraduate George Mason University B.S. Illinois Institute of Technology B.S. Certificate Oxford University Adv. Diploma Syracuse Masters Rice University Bentley University M.S. Stanford University Carnegie Mellon DePaul University MS. University of California San Diego Georgia Southern University M.S. 30 cr University of Washington Masters Ph.D Louisiana State University businessanalytics.lsu.edu/ George Mason University M.S. 36 cr Illinois Institute of Technology IU Masters SoIC 4 courses Grad Cert. 5 courses Cert. Grad Cert. Grad Cert. 6 courses Cert. Ph.D. Ph.D Michigan State University North Carolina State University: Institute for Advanced Analytics Northwestern University New York University Stevens Institute of Technology University of Cincinnati University of San Francisco UC Berkeley M.S. M.S.: 30 cr. M.S. M.S. 1 yr MS:36cr M.S.: cr. M.S. M.S. M.S. 07 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
8 Academic Program Design Approach Analysis of data Interaction and coordination with interested companies. Analysis of the existing academic programs and similar projects Reference profile from IWA Italy Chapter, DATA SCIENTIST - June 30, EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
9 Analysis of the LinkedIn data Thousands of job offers Data Collection and keyword identification: php, JAVA, Ruby, Machine Learning, Statistics, Information Retrieval, Graph Analysis, Big Data, Hadoop, hbase, Hive Pig, Scala, HTML, SQL, Python, MATLAB, Data Mining, Bachelors degree, BS degree, MS degree, M.S, B.S., PhD, Applied Mathematics, Computer Science, database, text mining, SAS, neural network, NLP, Computer Science, Electrical Engineering, Operations Research, Linux, Unix, Teradata, C/C++, Spark. Dimensionality reduction through PCA Et Extractionti of fthe most significant ifi competences 09 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
10 PCA results Analysis of the LinkedIn data ained onal Variance Expl Fracti % 80% 70% 60% 50% 40% 30% 20% 10% Variance Explained (%) Total Principal Component 0% The two most significant components cannot capture most of the process energy. The third component is necessary for collecting a significant percentage of energy. The remaining energy is still significant. It shows the heterogeneous nature of Data Science. 10 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
11 PCA results Analysis of the LinkedIn data 0.6 Comp ponent big data Hadoop Machine Learning Hive Scala PhD SAS Spark Pig hbase Ruby Unix Electrical MATLAB HTML Operations Engineering Applied Research NLP Ph.D. Information B.S. php Mathematics Graph neural text M.S BS MS Bachelors degree mining Analysis network degree Retrieval Teradata Statistics Data Mining JAVA Python Linux C/C++ Computer Science SQL database Component Component EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
12 Programming & Digital Technologies MIX of Competences Computational System (concurrency and distributed systems) Programming Languages and Paradigm (C, R, OpenMPI, Python) Tools (Big Data, Cloud Platforms, Databases, Sensors, ) Data sources (Open and Linked Data) curation Standards and Certification for the domain Domain-specific & Analysis skills Interpretation skills (Knowledge extraction) Business-orientation & Communication i Marketing and Market Analysis (Innovation leadership) Legal and Ethical elements Data Visualisation and Communication Skills Maths and Statistic 12 competences Statistics and Probability; Algebra and Calculus Machine Learning Data Mining And Business Intelligence EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
13 Data Science: Academic programs at the University of Perugia Master of Science degree in Computer Enginnering and Robotics Data Science Program Focus on data engineering and analytics with applications to business intelligence Robotics Program Focus on cloud robotics driven by machine learning Post-graduate International, Industry Driven Master Focus on Finance, Energy & Utilities, Telcos, Social & Media, Industry/Manufacturing, Services Industry driven. 13 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
14 Detailed program of the Master Certificate t Hours ECTS Fundamentals of fcomputer Science 14 2 Designed to be completed in Fundamentals of Statistics months, Big data Processing and Tools 28 4 over 1500 hours of lectures, Business Intelligence 21 3 lab experiments, business Cloud Computing 28 4 focused seminars, individual Data Science Tools 71 8 and group study and project Networking and Data Security 28 4 design. Data Mining and Machine Learning 52 6 Visual Analytics 40 5 Lectures in English Comunication and Presentation Skills 21 3 International guest lecturers, Data-driven Marketing 21 3 from academy, industry, Seminars focussed on Finance, 42 6 service providers. Energy & Utilities, Telcos, Social & Media Industry/Manufacturing Services Stage in Industries Final project preparation EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
15 Conclusion and Further Activities iti Design of the program in Data Science at the University of Perugia, tailored to the Industry Needs. Corresponding PhD research activities Continuous monitoring of results and expectations Candidate to become champion in the Edison Project Open to further collaborations 15 EGI Community Forum 2015 Gianluca Reali Industry-Driven Master
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