Machine Learning/Artificial Intelligence Major

The Machine Learning/Artificial Intelligence major is designed to provide an opportunity to all business majors.  They will gain an understanding of the applied use of data mining, data visualization, and machine learning and artificial intelligence.

The International Data Corporation (https://www.idc.com/) predicts that data will grow from 33 zettabytes to 175 zettabytes by 2025.  A zettabyte is approximately the size of a trillion gigabytes.  This is a 61% compounded annual growth rate.  Around half of this data will likely live in the cloud.  The numbers are staggering and the implications are huge.  MLBA give analysts the ability to process and find meaning in these extremely large data sets.  MLBA are not only prized skills, but will likely become the most demanded skill for job applicants in the coming years.

Further, the SAS Institute asserts that …it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale.  This helps organizations to be increasingly capable in a highly competitive world, while minimizing unknown risks (https://www.sas.com/en_us/insights/analytics/machine-learning.html).

Goal 1: Students will be able to demonstrate a conceptual and intuitive understanding of the common machine learning algorithms (inc. Supervised and Unsupervised Learning) and when each kind of technique may be appropriate. 

Goal 2: Students will be able to define the structure and components of a Python program (using loops, decision statements, functions, and libraries). Additionally, they will be able to work with Python libraries for data processing, and data visualization.  

Goal 3: Students will be able to design and implement various machine learning algorithms in a range of business applications. 

Goal 4: Students will demonstrate the use of data mining models that can identify hidden patterns and rules.  

Goal 5:  Students will be able to communicate clearly and effectively in composing and delivering oral presentations to the target audience.    

The traditional undergraduate programs includes a minimum of 120 credits distributed across three components: A General Education component divided into Signature Courses, Variable Courses, and an Integrative Learning requirement; a Major and Divisional component; and Free Electives. In addition to course requirements as specified in each area, students must complete one certified course in each of the following overlay areas1:

  1. Diversity, Globalization or Non-western Area Studies,
  2. Ethics Intensive
  3. Writing Intensive, and
  4. Diversity
1

Overlay requirements are part of the 120 credit requirements

General Education Signature Courses

See this page about Signature courses

General Education Variable Courses

See this page about Variable courses. Six to Nine courses

General Education Overlays

See this page about Overlays.

General Education Integrative Learning Component

See this page about Integrative Learning Component. Three courses:

ILC 1: Economics3
Introductory Economics Macro
ILC 2: Mathematics3
Differential Calculus
Fundamentals of Calculus
Calculus I
ILC 3: Non Department ILC: Select one from the following courses:3
Accounting
Fin Acc Info Sys I
Management Acc Info Systems
Business
Business Strategy
Computer Science
Computer Science I
CSC I:Programming Fundamentals
English
Writing for Organizations
Scientific Writing
Finance
Markets and Institutions
Fund of Quantitative Finance
Mathematics
Math of Games & Politics
Psychology
Intro Research Method Soc Sci
Research Methods
Theology
Technology Ethics
Total Hours9

Business Foundation 

Ten courses, including:

ACC 101Concepts of Financial Acct3
ACC 102Managerial Accounting3
DSS 100Excel Competency1
DSS 200Intro to Information Systems3
DSS 210Business Statistics3
DSS 220Business Analytics3
FIN 200Intro to Finance3
or FIN 225 Fund of Quantitative Finance
MGT 110Essent'ls of Organzational Beh3
or MGT 120 Essentials of Management
MGT 360Legal Environment of Business3
MKT 201Principles of Marketing3
BUS 495Business Strategy 13
or ACC 423 Accounting Control Systems
Total Hours31
1

Accounting Majors can choose between ACC 423 and BUS BUS 495

Major Requirements

DSS 325Open Source Program Lang3
DSS 415Data Wrangling & Visualization3
or DSS 416 Data Wrangling: Ethics Int.
DSS 420Introduction to Data Mining3
DSS 451Machine Learning for Bus I3
DSS 455Machine Learning for Bus II3
DSS Elective (select one of the following):3
Database Management
Analytics Cup
Advanced Business Analytics
Statistical Programming Lang
Supply Chain Analytics
DSS Special Topics I
DSS Special Topics II
Independent Study I
Independent Study II
Total Hours18