Enterprise Analytics

MS IN ENTERPRISE ANALYTICS Big data, bigger career opportunities. Amid today's explosive demand for computer and information analysts, Pace's MS in Enterprise Analytics offers a fast, flexible 30-credit program that equips you with a crucial, cutting-edge skill set that can be applied to all aspects of enterprise operation. Many of the courses are available online. Analytics is the process of decision-making based on data, studies, and systematic reasoning. While applied statistics is the mathematical foundation for analytics, the current industry's focus on effective server-based decision making allows computer science and technologies to play a central role in applying modern analytics to all industries. Fast and flexible—This 30-credit program can be completed in two years of part-time online study. Access to unique technology—Focus on major analytics techniques based on enterprise servers that cannot be learned on one's own or at most other universities that don't have close collaboration with major big data analytics technology suppliers like IBM and Oracle. Put classroom learning into action—Take courses in data mining development, big data warehousing, enterprise intelligence, and the mathematical foundation of analytics that can be applied to your job. Available online, the MS in Enterprise Analytics consists of three foundation courses, three major courses, three elective courses from all disciplines in Pace curricula, and one capstone project course. The program welcomes students from any undergraduate computing program with a GPA of 3.0 or better. How to Apply FOUNDATION COURSES (9 credits) CS 619 Data Mining 3 CS 658 Introduction to Analytics Computing 3 CS 660 Mathematical Foundation of Analytics 3 MAJOR COURSES (9 credits) CS 662 Big Data Warehousing 3 CS 664 Introduction to Enterprise Intelligence 3 CS 666 Enterprise Intelligence Development 3 ELECTIVE COURSES (9 credits) Students may take any relevant Pace University graduate courses for which they have completed all prerequisite courses and obtained department chair's approval. These elective courses are in Pace's Lubin School of Business and are not currently online classes. The number of non-business students who can enroll in them may be limited. MAR 635 Business Research and Survey Methodology 3 MAR 643 Interactive and Direct Marketing 3 MAR 646 Social Media and Mobile Marketing Strategies 3 MAR 649 E-Marketing 3 MAR 660 New Products and Services Development and Management 3 MAR 664 Analysis for Marketing Decisions 3 MAR 673 Customer Intelligence 3 MBA 640 Accounting for Decision Making 3 MBA 642 Marketing Management 3 MBA 646 Data Analysis for Decision Making 3 MBA 679 Value Creation 3 MGS 632 Supply-Chain Management 3 CAPSTONE COURSE (3 credits) CS 668 Analytics Capstone Project 3 TOTAL CREDITS 30 DEGREE REQUIREMENTS (Duration of program: 2 years) A program for every stage of your career, at a pace that works for you. Other programs you might consider: MS Internet Technology, MS Computer Science, MS Information Systems For information on all other Seidenberg Master's-level degrees, please visit www.pace.edu/SeidenbergGrad. Visit www.pace.edu/GradApply to learn more and access our online application. The GRE is not required for admission. Scholarships and Financial Aid At Pace, we offer our graduate students a variety of options to help finance their education. In addition to scholarships and student loans, Pace also contributes with work-study programs and graduate assistantships. Learn more about the different programs Pace uses to help graduate students at www.pace.edu/Grad-Aid. BY SUBMITTING YOUR APPLICATION, YOU ARE ALSO AUTOMATICALLY CONSIDERED FOR A MERIT SCHOLARSHIP.

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