Animation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program

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1 Business Intelligence Computer Animation Master of Science Degree Program The Bachelor explosive of growth Science of Degree from the Program Internet, social networks, business networks, as well as the evolution of, has given businesses, government and other organizations the tools to amass a wealth of information about the individuals and entities they engage with in a wide variety of transactions. Organizations are now recognizing the value this ocean of represents. This awareness has fueled the need for professionals that can mine it, analyze it, and turn it into effective strategic and operational actions. In Full Sail University s Business Intelligence master of science degree program, you ll learn how to collect, manage, mine, analyze, interpret, and create visual representations of Big Data using a variety of tools and technologies. You ll examine topics including, qualitative, and business intelligence technologies, and develop key technical and analytical in visualization, creative reporting, case studies,, and leadership development through a series of integrated learning activities. Each of your courses will contribute to the development of your capstone, which will be to design and plan the of a a comprehensive base supplied by a variety of external sources. You will demonstrate your abilities as a professional by conducting your own research, developing and presenting your findings and recommendations. Areas of Focus Foundations Analytics of Fine Business Arts Personal Effects Intelligence Modeling Development Final Project/ Technologies & Demo Leadership Reel Creation Animation Skills

2 a ement core RTING LS Areas of Focus es house JECTS technologies technologies deling statistical INFERENCE OCESS gament ta agement core es statistical TIVE INFERENCE entation INTELLIGENCE FOUNDATIONS OF TECHNOLOGIES S PORTING OOLS PERSONAL DEVELOPMENT TOOLS TOOLS core INTELLIGENCE FOUNDATIONS OF INTELLIGENCE TECHNOLOGIES es technologies statistical INFERENCE TOOLS core es technologies Technologies Foundations of Business Intelligence Creating effective business intelligence solutions relies on a scientist s foundational knowledge of the core concepts, es, and tools of business intelligence. In the Business Intelligence program, you ll be introduced to the core business es as well as the network,, and reporting tools that represent the building blocks of. Upon completion of the program students will have a thorough understanding of the key components needed to construct an effective business intelligence infrastructure. Business intelligence technologies are key building blocks of a solution. In the Business Intelligence master s program you ll acquire an understanding of technologies, with an emphasis on the design and creation of a. Your courses will teach you the practical planning and of s, including architecture and physical design. You ll explore architecture and the operational TOOLS dimensions of technology, including base administration, warehousing, and mining. You will also examine the role of bases and, and learn common business intelligence tasks including P reporting, performance monitoring, and forecasting. onlin trans managemen

3 ies A ent ies l CE l CE E VE ent lls ills TING Areas of Focus use CTS E ling INTELLIGENCE FOUNDATIONS OF Analytics Extracting meaningful information from an organization s system is a critical step in supporting decision-making within the world of business intelligence. Your lessons in the Business Intelligence master s program will cover topics including TOOLS statistical inference, decision-making under uncertainty, predictive, and of random es. Assignments emphasize the role of business and critical thinking in -planning situations. Throughout the program, you ll learn how technologies such as s, cubes, marts, and analytic (OLAP) are used to access, analyze, and distribute information. You ll also develop an understanding of basic statistical and analytic techniques used in the evaluation of large s. TECHNOLOGIES S PERSONAL DEVELOPMENT AND LEADERSHIP SKILLS statistical INFERENCE core es technologies TOOLS

4 technologies Areas of Focus S PERSONAL DEVELOPMENT INFERENCE AND LEADERSHIP SKILLS statistical PERSONAL DEVELOPMENT AND LEADERSHIP SKILLS Personal Development & Leadership Skills TOOLS In order to successfully adopt and implement a proposal, a business intelligence professional must be able to elicit information from participants, and explain complex concepts and es to different audiences. They must also have the persuasive to encourage buy-in and organizational change, as well as the leadership to manage es. During your time in the Business Intelligence program, your courses will support the development of your communication and leadership abilities by emphasizing such as, negotiation,, and presentation. You ll also learn how to match visualizations and infographics with text and motion graphics to create effective, informative, and engaging presentations in a range of media. Additionally, you will build vital such as vendor selection, reporting, meeting, and legal issues that affect policy execution. statistical INFERENCE

5 Overview The Business Intelligence master of science degree program prepares students for careers in Big Data, including business analysts, administrators, and consultants. Business Intelligence master of science students receive graduate-level instruction that develops the technical, business, and analytic competencies necessary to inform effective organizational decision-making. Graduate courses in, qualitative, and business intelligence technologies introduce core knowledge and through a series of interconnected learning experiences. Students further develop key technical and analytical in courses that address topics such as mining methodologies, pattern recognition and, and. As they complete the program, students will refine their critical thinking and communication by examining a variety of realworld business challenges, through advanced lessons in visualization, creative reporting, case studies,, and leadership development. Each course will develop the student s academic research, tools, and methodologies as students learn how to utilize academic research for a variety of contexts and learning activities. Throughout the program, students will develop their capstone thesis focusing on building a, which they will deliver in the final month of the degree. Objective Today s businesses have access to a vast amount of information that can be utilized to improve their products and services, make their companies run more effectively, and transform their business. As such, utilizing Big Data to make informed business decisions is a rapidly growing trend for businesses around the world. The objective of the Business Intelligence master of science degree program is to prepare students to collect, manage, prepare, analyze, interpret, and communicate this information for the improvement of specific business es and to inform business decisions. This goal will be accomplished by providing students with the knowledge,, and abilities necessary to effectively utilize for the improvement of business results. It will also be accomplished through -based learning activities and guided academic research applications, which will enable students to use the appropriate tools and technologies for,, visualization, and communication. OVERVIEW & OBJECTIVE

6 Business Intelligence Master of Science Degree Program PROGRAM CORE Code Course Credit Hours N 560 Business Intelligence Analytics 3.00 N 680 Business Intelligence Capstone 3.00 N 660 Business Intelligence Case Studies 3.00 N 650 Business Intelligence Leadership & Communication Skills 3.00 N 550 Business Intelligence Technologies 3.00 N 580 Data Mining 3.00 N 630 Data Visualization and Creative Reporting 3.00 N 530 Enterprise Data Management 3.00 N 520 Foundations of Business Intelligence 3.00 MDL 501 Mastery: Personal Development and Leadership 3.00 N 610 Patterns and Recognition 3.00 N 620 Process Modeling and Analysis 3.00 Chronological Schedule by Months MASTERY: PERSONAL DEVELOPMENT & LEADERSHIP FOUNDATIONS OF INTELLIGENCE ENTERPRISE TECHNOLOGIES S PATTERNS & RECOGNITION CASE STUDIES CAPSTONE MODELING & ANALYSIS VISUALIZATION & CREATIVE LEADERSHIP & COMMUNICATION SKILLS Totals: TOTAL CREDIT HOURS: 36 TOTAL WEEKS: 48

7 Course Descriptions Program Core N 560 Business Intelligence Analytics The Business Intelligence Analytics Course provides an overview of fundamental concepts, tools, and techniques used to extract meaningful information from an organization s in order to support effective decision making. The course will further develop students understanding of statistical and analytic techniques used in forecasting and predictive. Special emphasis will be placed on probability and an introduction to the Bayesian Paradigm and Bayesian statistical methods. Lessons will cover topics including statistical inference, decision making under uncertainty, predictive, and of random es. Assignments will emphasize the role of business and critical thinking in the planning of s and s. Online Analytic Processing (OLAP) Bayesian Statistical Methods Statistical Inference Decision Making Under Uncertainty Forecasting and Predictive Analysis N 680 Business Intelligence Capstone The Business Intelligence Capstone Course will provide students with an opportunity to demonstrate mastery of program curriculum as they deliver their and present key findings to colleagues and stakeholders. Students will present a final thesis document that summarizes the, methodologies, key results, and recommendations. In addition to presenting a functional and executive dashboard, students will deliver a presentation that summarizes their, results, and recommendations through the effective use appropriate visualization and infographics. The final presentation will emphasize professional communication and critical thinking as much as technical competence. Written Report Including Project Plan, Methodology, and Recommendations Presentation, Infographics, and Visualization N 660 Business Intelligence Case Studies The Business Intelligence Case Studies Course will synthesize student learning through case and the practical application of business intelligence () analytic es to a range of business problems. Throughout the course, students will use a series of case studies to address a variety of real-world problems involving enterprise level business. The course will focus use of es, tools, and techniques to generate viable solutions to complex problems in a variety of domains. Activities will focus on developing the creative problem solving and critical thinking to support the range of decisionmaking es from identification and of problems to the presentation of results. Students will practice virtual meetings, interviews, and presentation in a variety of group and individual exercises. Case Analysis Project Planning Enterprise Level Business Analysis Creative Problem Solving and Critical Thinking N 650 Business Intelligence Leadership & Communication Skills The Business Intelligence Leadership and Communication Skills Course will refine students abilities to listen, ask questions, and explain complex es, policies, and results to variety of audiences across an organization. Students will match visualizations and infographics with text and motion graphics to create effective, informative, and engaging presentations in a range of media. Lessons cover a variety of operational topics including vendor selection, reporting, and legal issues that affect business intelligence () policy and. Exercises will emphasize necessary for successful professionals including, negotiation, and meeting. Students will also work to finalize their capstone presentation. Create Effective Presentations in a Range of Media Vendor Selection Budgeting Management Reporting Legal Issues that Effect Policy and Implementation Listening Negotiation Meeting Management Data Warehouse and Dashboard

8 Course Descriptions Program Core N 550 Business Intelligence Technologies The Business Intelligence Technologies Course develops students understanding of technologies and es that support successful business intelligence () with an emphasis on the design and creation of a. Lessons cover the practical planning and of s including architecture and physical design. Topics include the basics of extract, transform, and load (ETL) es as well as the and of s. Students will explore common architecture and the operational dimensions of technology including base administration, warehousing, and mining. The course will also examine the role of bases and (OLTP) and explore common tasks including reporting, performance monitoring, and forecasting. Students will learn how technologies such as s, cubes, marts, and analytic (OLAP) are used to access, analyze, and distribute organizational information. Case and real-world examples will provide students with an introduction to basic statistical and analytic tools used by to solve problems and improve decision making in a variety of industries and contexts. Extract, Transform, and Load (ETL) Systems Architecture Database Administration, Data Warehousing, and Data Mining Online Transactional Processing (OLTP) Online Analytic Processing (OLAP) Common Tasks Basic Statistical and Analytic Tools N 580 Data Mining The Data Mining Course will examine how mining tools, techniques, and intelligent es are used to identify patterns in that yield information, insight, and enterprise intelligence. Students will explore mining concepts and practical techniques and methodologies for extracting information from large s using algorithms. Lessons will cover a variety of mining and machinelearning es and concepts including clustering, association, classification, and outlier. Students will apply course concepts as they use professional -mining tools on large s. This course will also address estimating the value of mining insights and examine and reporting issues specific to mining. Algorithms and Machine Learning Data Mining Tools Classification Clustering and Association Estimating Value of Insights and Discoveries Project Management and Planning N 630 Data Visualization and Creative Reporting The Data Visualization and Creative Reporting Course will sharpen students abilities to present complex results to a wide range of audiences across an organization. Students will learn about practical techniques and the latest tools for developing impactful visualizations and infographics. The course will address concepts and design considerations for dashboards, user interface, and web-based reporting and examine how each supports a variety of knowledge requirements. The course will address the use of dashboards, including web-based and desktop widgets and stand-alone software applications. Students will also explore current technical and user interface considerations of responsive web design as well as -fusion techniques and the presentation of real-time, locationbased, and social network. Data Visualization and Infographics User Interface Design N 530 Enterprise Data Management The Enterprise Data Management Course explores the big picture of enterprise and sources, taking a holistic approach to knowledge within organizations. This course will introduce enterprise and -level information that support business es including enterprise resource planning (ERP), decision support (DSS), supply chain (SCM), knowledge (KMS), customer relationship (CRM), and human resources information (HRIS). Students will explore the impact of the Internet on traditional IT with particular focus on the technical and policy impact personal smart devices and the unique security issues raised by mobile applications, social media, and cloudbased. The course will also introduce students to the fundamentals of logical models and base design. Assignments focus on the communication and presentation of complex technical information to a range of non-technical audiences. Students will receive their Capstone business case that they ll use to develop a plan,, final report, and presentation to be delivered at the completion of their degree Month 12. Enterprise Resource Planning (ERP) Management Information Systems (MIS) Decision Support Systems (DSS) Mobile Applications, Social Media, and Cloud-Based Systems Logical Data Models and Database Design Communicating with Nontechnical Audiences Virtual Presentations Dashboards Mobile Reporting

9 Course Descriptions Program Core N 520 Foundations of Business Intelligence The Foundations of Business Intelligence Course introduces students to the core concepts, es, and tools of Business Intelligence. Lessons will introduce business (BPA) and cover the core business es that business intelligence () seek to address including finance and accounting, marketing, operations, and human resources. Students will explore the basics of common network, Internet, and architecture and technologies including s, marts, and reporting tools and dashboard. Students will also develop a foundational knowledge of considerations for the design, development, and of effective. Case study and inter assignments will illustrate how elements of an effective system are used to solve a variety of real-world business problems. Finally, students will explore the structure of a formal literature review as they contrast business and academic research methods in preparation for the selection of their Capstone Thesis topic. Business Process Analysis (BPA) Networking and Internet Technologies Architecture Project Management Academic and Business Research Methods Literature Review MDL 501 Mastery: Personal Development and Leadership At the level of a master s degree, the objective of a graduate education is for a student to be able to demonstrate a mastery of a specific field of study. In the Mastery: Personal Development and Leadership Course, students will explore the concept of mastery from an interdisciplinary perspective, utilizing historical case studies, anthropology, leadership science, and neuroscience. Students will gain an understanding of what mastery means and how they can utilize this concept for their own personal development, establishing a deep connection with their academic discipline and developing professional leadership. Specifically, students will examine the roles of apprenticeship, in-depth learning, creativity, immersion, reflection, and practice. They will also learn graduate-level academic research methodologies, tools, and es and apply these to course learning activities. In addition to academic tools and research methodologies specific to the curriculum, students will learn and utilize the appropriate graduatelevel academic research approaches that are supportive for this level of education. The course serves as the student s first step in their journey from student to practitioner, where they will gain a holistic understanding of what is required to be a successful graduate student and a master of their particular subject. Mastery Concepts Case Studies Leadership Principles In-Depth Immersion and Reflection N 610 Patterns and Recognition The Patterns and Recognition Course will examine advanced -mining concepts and techniques used to identify meaningful statistical patterns and relationships in. Students will explore the use of algorithms in a variety of es from basic pattern recognition to search engines and real-time (RTA). Assignments will use case studies to emphasize the role of mining in supporting effective organizational decision making. Students will also examine how algorithms are used to support social network as well as speech and image recognition. Students will apply course concepts using -mining tools to examine live s that support development of their capstone. Advanced Data-Mining Tools and Techniques Real-Time Analysis (RTA) Pattern Recognition Search Engines Social Network Analysis Speech and Image Recognition

10 Course Descriptions Program Core N 620 Process Modeling and Analysis The Process Modeling and Analysis Course will address how business intelligence are used to support the and improvement of business es. In addition to an exploration of business (BPM), simulation (PSIM), and enterprise risk the course will examine a variety of statistical simulation and concepts including model validation, sensitivity estimation, and Monte Carlo simulation. Lessons will also cover AB testing and optimization through simulation, including the use of Bayesian statistics in simulations used to support optimization es. Selected cases and assignments will explore practical application of business- analytics in solving real-world quality control, user-experience, and -improvement problems. Students will also explore the application of course concepts in decision support (DSS) and the selection of key performance indicators (KPIs), including the use of balanced scorecards to monitor organization performance. Process Simulation Modeling (PSIM) Monte Carlo Simulation Enterprise Risk Modeling Statistical Simulation Optimization AB Testing Key Performance Indicators (KPIs)

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