Program: MSBA-MIS with Concentration in Business Intelligence

 

Accept applications now

 

(Tentative program plan)

 

 

Admissions: http://ms.ba.ttu.edu/MSBA/MSBA_Application/MSBA_Application_Process.asp

 

MSBA Application Process: Rawls Online Application | GradSchool Application | Check List for Applying | International Admissions | Download Rawls Application | Request Application Information to be mailed

 

 

 

Motivations:

 

1)      IT applications from industry are shifting from previous data management to data exploitation. Annual BI application spending is growing the fastest among different IT projects

2)      E-commerce is moving towards targeted marketing and advertising with intensified applications of analytics techniques.

3)      The changing job market – 100% students specialized in analytics got good jobs and high salaries, according to a number of universities having a data mining/BI program.

 

Job market:

 

Using “Data mining” to search http://jobsearch.monster.com/ will turn out 1,000+ results; and “Business intelligence” will turn out 5,000+ results. More facts:

 

  • Fewer than 1 out of 200 experienced SAS programmer/analyst is actively seeking employment
  • More than 50% of the active job seekers are receiving multiple offers within 30 days of seeking new employment
  • 1 out of 4 SAS Programmer/Analyst resumes on Monster.com are fake
  • 3 out of 5 SAS Programmer/Analyst resumes on Monster.com are recent college graduates with less than 1 year of relevant experience  
  • 95% of the SAS-related job postings on the major job boards do not yield any qualified candidates

 

The above was provided by Visibility Resource Group, a US firm company that specializes exclusively in the recruitment and placement of SAS specialists including SAS Programmers, SAS Administrators, Clinical SAS Programmers, and Marketing / Risk / Fraud Analytics Specialists. 

 

Program Introduction:

 

The purpose of the Master of Science in Management Information Systems program with concentration in analytics is to prepare students with the necessary knowledge in information technology for industry.  This program focuses on:

·         Information systems Development

·         Business data analysis

·         Data mining applications with SAS

·         Optimum Decision-making

·         Internet and Electronic Commerce

 

Objectives:

 

The following are a few objectives that should be further discussed and extended:

 

·         The students of MSBA MIS/BI will have solid knowledge in quantitative decision theories and optimization theories

·         The students will have strong skills and knowledge in data management, data processing, and data analysis.

·         The students will be able to accomplish the tasks of business intelligence with SAS and its BI-oriented platforms

 

Curriculum

 

 

 

Tool Courses (12 hours)

 

ACCT 5401   Financial and Managerial Accounting

FIN 5421        Financial Management

ISQS 6337     Business Programming Languages (cross-listed with ISQS 3345)

BLAW 5290  Legal, Regulatory, & Ethical Env. Of Business

 

 

Core Courses (18 hours)

 

ISQS 6338     Database Concepts

ISQS 6339     Data Management & Business Intelligence (name change)

ISQS 6347      Data & Text Mining

ISQS 7338      Systems Analysis  & Design

ISQS 7342      Business Analytics

*ISQS 5359    Individual Study in ISQS - Online project management course

 

Other Required Courses (6 hours)

 

ISQS 5345     Statistical Concepts for Business Management  OR

ISQS 5347    Advanced Statistical Methods

ISQS 5343    Operations Management & Management Science

 

 

Electives (12 hours)

 

MGT 5371    Managing Organizational Behavior and Organizational Design

ISQS 6341   Data Communications and Network Analysis (cross-listed with ISQS 3349) 

ISQS 6348   Multivariate Analysis

ISQS 6349   Advanced Business Forecasting

Any of CS 5328, 5341, 5321, or 5356 with approval

MKT 5355   Research Methods I

Any of Statistics Courses with approval

ECO 5346   Game Theory

ISQS 5338   Information Technology for E-business

ISQS 5349   Regression Analysis

IE 5317        Digital Simulation  (Spring)

IE 5311        Principles of Optimization (Spring)

IE 5321        Decision Theory and Management Science (Spring)

 

 

Course Descriptions (Some)

 

ISQS 6339 Data Management & Business Intelligence (to be offered every fall semester)

 

Data management comprises all the disciplines related to managing data as a valuable resource. Business intelligence (BI) is referred to as applications and technologies which are used to gather, provide access to, and analyze data and information about their company operations. Business intelligence systems can help companies have a more comprehensive knowledge of the factors affecting their business, such as metrics on sales, production, internal operations, and they can help companies to make better business decisions.

 

This course is to be based on the contents covered by database management to further train students the skills methodologies, and knowledge how to accomplish data management tasks with the applications of BI tools and techniques. The main components of the course include:

  1. Principles of data warehousing
  2. Data modeling
  3. Data profiling
  4. Information integration and flow design in the ETL (extraction, transformation, and loading) process 
  5. Online analytical processing (OLAP)
  6. Data reporting and query techniques
  7. Data quality assurance
  8. Introductory data mining

 

The course is lectured with cases and tools use. So, in addition to the above topics, students also use extensively data management and BI tools, such as SAS Enterprise Guide and SAS OLAP Cube Studio.

 

Prerequisites: statistics, database management, any programming course

 

ISQS 7342 Business Analytics (To be offered every fall semester)

 

Business analytics is an advanced analytics course based on data mining and advanced statistics. The main objectives of this course include:

  1. Students will master advanced data mining techniques in order to be professionally solve the problems in the industry
  2. Students will be able to design and implement efficient algorithms for solving specific data mining and decision optimization problems  
  3. Students will gain solid background in theoretical aspects of analytics which will allow them to conduct both academic research and practical analytics projects

 

The course covers the following three aspects:

  1. Theoretical fundamentals
    1. Algorithm analysis and design
    2. Optimum decision making model
  2. Advanced data mining techniques:
    1. Decision tree algorithm design
    2. Two-stage modeling
    3. Advanced text mining
  3. Advanced business applications
    1. Online targeted advertising
    2. Recommendation system
    3. Data mining topics in search engine implementation

 

Prerequisite: Data mining (ISQS 6347), advanced statistics