Curriculum:Master of Data Analytics Leadership

Courses

The Drake online Master of Data Analytics Leadership program can be completed in two years, attending part-time. The program consists of 30 credit hours to be taken in the following areas:

  • Core courses: 15 credit hours
  • Elective courses: 15 credit hours

Core Courses

MDAL 210: Business Analytics, Teams, and Projects – 3 Credit Hours

In this course, students will be introduced to business analytics concepts. Specifically, students will explore all aspects of business analytics projects focusing on how businesses use data to solve problems. Class topics will address data analytics teams, working together, and leadership, including concepts of team formation, problem analysis, requirements gathering, and other project management concepts.

MDAL 220: Information Technology Legal and Ethical Issues – 3 Credit Hours

This course provides an overview of ethical and legal issues associated with business information technology usage, data collection, data sharing, and data-driven decision making.  Topics include ethical and legal perspectives on privacy and information rights, organizational computer usage policies, cybercrime, and intellectual property.

MDAL 230: Data Management and Visual Analytics – 3 Credit Hours

A study of database concepts and technologies used in managing and using data within modern organizations: defining data needs; using modern database tools; understanding database design; and creating applications. Class time is also devoted to the topic of visualization and visual analytics tools.

MDAL 240: Statistical Modeling – 3 Credit Hours

This course will focus on the analysis of data for statistical modeling.  Statistical methods for analyzing and displaying data will be used, as well as concepts related to model assessment and diagnostics.

MDAL 260: Applied Analytics Project – 3 Credit Hours

This course will provide students with the opportunity to experience the full life cycle of a data analytics project.  Students will collaborate with team members on a full-scale data analytics project to utilize the skills learned throughout their degree program.  An emphasis will be placed on data analytics as well as communication skills.

 

Note: Students who are interested in a certificate option can take the five core courses in the MDAL degree to earn a Certificate in Data Analytics Leadership.  All courses can be taken online. Students must not be enrolled in the Master’s degree program to earn the certificate. Please contact one of our enrollment specialists to learn more.

 


Electives

Students in the online data analytics master’s program will take 15 credit hours of elective courses. Course options include:

MBA 245: Leading with Data – 3 Credit Hours

This course will focus on the role of data in today’s fast-paced, competitive, data-rich, global business environment. Emphasis is on developing the habits of mind necessary for data-driven leadership. You will learn to seek data, to understand variation and the pitfalls of sampling, to question assumptions, and to think critically about reports and data displays. You will be exposed to the terminology necessary to communicate with analysts. You will develop data-driven management skills such as formulating value-adding questions, directing the collection and selection of data, working with analysts, working with management dashboards, operationalizing insights from data, and telling stories with data.

MBA 254: Leadership & Human Capital Development – 3 Credit Hours

This course will provide students with the opportunity to experience the full life cycle of a data analytics project. Students will collaborate with team members on a full-scale data analytics project to utilize the skills learned throughout their degree program. An emphasis will be placed on data analytics, as well as communication skills.

QUAN 270: Quantitative Analytical Methods – 3 Credit Hours

This course examines the quantitative side of the management decision making process. Commonly used mathematical techniques with a view to problem formulation and the critical interpretation of quantitative analysis will be discussed. Methodologies covered include optimization, sensitivity analysis, simulation, forecasting, and decision analysis. This course makes extensive use of spreadsheets.

BUS 298: Communication for Entrepreneurs & Business Professionals – 3 Credit Hours

This is a project-based course for entrepreneurs and business professionals with a focus on creating content suitable for print and web communication. Students explore communication design, message strategies, audience analysis, medium, and channel. No prerequisites.

IS 298: Python Programming for Analytics – 3 Credit Hours

This course is an introduction to computer programming emphasizing modern Python tools for data analysis and modeling. Students will learn to use the program control and data structures necessary to perform descriptive and predictive analytics tasks, utilizing libraries for visualization, statistics, and machine learning. No prior programming experience is required.

 

Sequence of Courses

 

Year Term Course
2019 Spring Term 1 MDAL 210
2019 Spring Term 2 MDAL 220 or MBA 245 (Elective)
2019 Summer Term 1 MDAL 210 or MDAL 230 or Elective
2019 Summer Term 2 MDAL 240 or MBA 245 (Elective) or Elective
2019 Fall Term 1 MDAL 210 or Elective
2019 Fall Term 2 MDAL  220 or Elective
2020 Spring Term 1 MDAL 210 or MDAL 230 or Elective
2020 Spring Term 2 MDAL 220 or MDAL 260 or Elective
2020 Summer Term 1 MDAL 210 or MDAL 240 or Elective
2020 Summer Term 2 MDAL 220 or Elective
2020 Fall Term 1 MDAL 210 or MDAL 260 or Elective
2020 Fall Term 2 MDAL 220 or Elective
2021 Spring Term 1 MDAL 210 or Elective
2021 Spring Term 2 MDAL 220 or Elective
Back to: Master of Data Analytics Leadership

Lifelong Learning for a Lifetime of Success

By submitting this form, I understand that Drake University may email me or contact me via telephone and/or text messages about educational services at the phone number(s) provided, including a wireless number, using an automated technology. I also understand that consent is not a condition of enrollment.