GRADUATE DEGREES IN DATA ANALYTICS: MS MBA CONCENTRATION MS/MBA DUAL DEGREE

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1 GRADUATE DEGREES IN DATA ANALYTICS: MS MBA CONCENTRATION MS/MBA DUAL DEGREE

2 Why all the talk about Big Data? It exists It has potential value Its potential value is only now slowly being understood

3 Some sources of Big Data Internet Data Exhaust

4 Some sources of Big Data Internet Data Exhaust

5 Some sources of Big Data New Data Capture Opportunities

6 Some sources of Big Data Internet of Things

7 What is Data Analytics? The need to properly conduct and manage the acquisition, storage, use, interpretation and value extraction of ever increasing amounts of ubiquitous data is everywhere: Business, Finance, Marketing Healthcare, Life Sciences, Pharmaceutical Industry Engineering, R&D Manufacturing, Logistics Telecommunications and Media Travel, Hospitality Crime, Fraud prevention and detection Social Media, Entertainment

8 What is Data Analytics? Common Job Titles:

9 Why Data Analytics? Employees with the critical data analytics skill set are in great demand The United States alone faces a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions based on their findings. McKinsey & Co. dice.com: data analytics search returns more than 2,500 job announcements posted within last seven days (March 5, 2014) glassdoor.com: data analytics search returns more than job announcements posted within last seven days (March, 5, 2014)

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11 Who is Data Analytics For? Natural candidates for a career in Data Analytics field are students with undergrad degrees from quantitative fields Math, Statistics Basic Sciences CS/IS Engineering Finance, Accounting, Economics, Supply Chain, Operations Our program is designed to train students from a variety of professional and academic backgrounds Prerequisite courses are available during summer for students with a non-tech background. (online options will be available in 2015!) Calculus Probability and Statistics Basic Programming

12 What is the Common Data Analytics Skill Set? Foundation Skills Probability and Statistics Data Modeling ` and SQL Optimization Methods Most common professional skills Data Mining (Machine Learning) Data Visualization Large, analytical DB design and management ( Data Warehousing) Spreadsheet Modeling

13 Why Data Analytics at Clarkson? Our curriculum is designed to fit industry needs Our program is interdisciplinary, ensuring that all key analytics skills are covered Most programs do not cover the key analytics skill set in its entirety We have very strong support from our industry partners Consumers of big data analytics: Fortune 1000 companies Providers of key analytics technologies Our platforms and tools are current and cutting edge

14 Pedagogy to deliver a Common Analytics skill set Foundation Skills Developed by collective agreement of the program committee Probability and Statistics Data Modeling and SQL Benchmarked against other programs Evaluated against job requirements In consult with academia, national labs, industry Optimization Methods Data Mining (Machine Learning) Data Visualization Most common professional skills DB design and management, Data Warehousing Spreadshe et Modeling 2/3/2015 J. Skufca 14

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16 Pedagogy to deliver a Common Analytics skill set Foundation Skills Probability and Statistics Data Modeling and SQL Optimization Methods Most common professional skills Data Mining (Machine Learning ) Data Visualization DB design and management Data Warehousing Spreadshe et Modeling 2/3/2015 J. Skufca 16

17 Option 1: MS Data Analytics One year / 33 credits program Five Core Courses 15 credits Four Electives (Choice of dozens of electives) - 12 credits Industry Sponsored Capstone 6 credits

18 Core Courses* IA Database Modeling, Design and Implementation IA Optimization Methods for Analytics IA Probability and Statistics for Analytics IA Information Visualization IA Data Mining *Some of the core courses may be waived if the students can demonstrate that their previous undergraduate or graduate coursework contains equivalent material..

19 Electives - Sample IA Data Warehousing IA Spreadsheet Analytics IA Modeling for Insight (pre-requisite: Spreadsheet Analytics) IA Geospatial Systems CS Computational/Machine Learning CS Artificial Intelligence CS Human Computer Interaction EC 611- Econometrics EE Digital Signal processing ES Design of Experiments and Analysis of Data EE Pattern Recognition ME Stochastic Processes for Engineers MK 696 -Marketing Research Methods OM Strategic Project Management

20 Option 2: MBA with Business Analytics Certificate* 38 credits program MBA Core Four Analytics Electives

21 Option 3: Dual MBA /MS Data Analytics Degree* 46 credits program MBA Core + 18 credits of Data Analytics + capstone

22 Learning more about our Analytics Programs All three analytics options are available in residential format in AY 2014/2015 On-Line format for MS Data Analytics as well as dual MS/MBA degree and MBA BA concentration is scheduled for AY 2015/2016 us at Call us at or Visit our website at for further information, fill out an application online and communicate with us.