Analytics Track

MIS students

Data analytics professionals are in high demand.

Our new STEM-designated analytics track will give you an opportunity to acquire a comprehensive array of skills you need to succeed as an analytics professional working across the data life cycle. 

Organizations need to leverage rapidly increasing volumes of data, creating a higher demand for analytics professionals than ever before.

Are you ready to meet these industry needs? The analytics concentration will help you:

  • Explore the development and application of transactional databases and data warehouses. 
  • Gain the skills needed for data cleansing, visualization, reporting and descriptive analysis. 
  • Acquire an in-depth understanding of the statistical methods required to build analytical models. 
  • Apply data mining, predictive analytics and machine-learning techniques to make forecasts. 
  • Maximize big data insights with market-leading tools like Python, R, SAS and Tableau.

Curriculum

Semester One

MGS 613LEC Database Mgmt Systems

This course is designed to provide students with a basic understanding of database management systems (DBMS) and the skills needed to design and implement a relational database. Students will be introduced to data modeling concepts, modeling tools, the process of transforming conceptual models into relational database designs, and finally the steps needed to implement those designs. Emphasis is placed on Entity-Relationship diagramming, data normalization, database administration, and data definition, data manipulation and query development using Structured Query Language (SQL). Other topics covered include: object-oriented databases, database security and integrity, web/database integration, application development in a Client/Server environment, distributed databases, data warehousing, data mining and knowledge management via the Internet to support electronic commerce. Readings, lectures, interactive case assignments and a database design project reinforce the role of DBMS in supporting organizational systems, transaction processing and decision support applications.

Credits: 3.00
Semesters offered: Fall 2018


MGQ 606LEC Statistical Foundations of Analytics

This course covers the fundamental concepts in statistics that are essential for business and data analytics. Probability Theory and Sampling Theory are the two foundations of both descriptive and predictive forms of analytics. Building from these foundations, students are introduced to the statistical concepts of data analysis. Topics covered include: descriptive statistics, probability theory, discrete and continuous probability distributions, sampling theory, estimation, hypothesis testing, distribution fitting using chi-square tests, simple and multiple linear regression, introduction to causal modeling and predictive data analytics. MS-Excel based data modeling will be used extensively throughout the exposition of the concepts.

Credits: 3.00
Semesters offered: Fall 2018


Total credits: 6

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If you don't have a business background you may apply to the program, but will be required to take MGG 503, Introduction to Business.

Contact Us

Graduate Programs Office
School of Management
University at Buffalo
203 Alfiero Center
Buffalo, NY 14260-4010

Tel:  716-645-3204
Fax: 716-645-2341
som-apps@buffalo.edu

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