Business Engineering and Management Science (B.S.)

Business Engineering and Management Science (B.S.)

The Bachelor of Science in Business Engineering and Management Science (BEMS) program prepares students with an interest and aptitude in STEM to be leaders in an increasingly data- and technology-driven business world.  After a solid grounding in math and engineering fundamentals from the Mines core curriculum, students are trained in the latest quantitative business tools. The BEMS degree is built on two core areas: 1. Business Principles, which prepares students in traditional business skills in accounting, finance, marketing, communication, strategy and project management; and 2. Data Analytics and Operations Research, which focuses on data science, mathematics, statistics, and optimization modeling, business analytics, artificial intelligence and machine learning, advanced manufacturing, and financial engineering.

Engineering Hall

PROGRAM OBJECTIVES

Upon completion of the degree, students will be able to:

  1.  Identify, access, validate, and visualize relevant data to inform business decisions.
  2.  Demonstrate proficiency with deterministic and stochastic analytical tools.
  3.  Demonstrate mastery of business principles.
  4.  Build models and apply quantitative tools to inform decisions about business strategy and operations.
  5.  Communicate effectively in a professional context in a variety of formats.
  6.  Identify and propose solutions to ethical issues in business decision-making.
  7.  Demonstrate expertise in their track areas of choice.

 

Curriculum

The BS in Business Engineering and Management Science Program is 128 credit hours of study.

  • The Mines core of 58 credit hours covers math, science, engineering design, humanities and social sciences
  • The Business Principles core and the Data Analytics & Operations Research core each require 18 credit hours
  • Two Business Engineering and Management Science tracks require a total of 24 credit hours
  • 9 credit hours of free electives

 

Course Requirements

MAJOR CORE

DATA ANALYTICS & OPERATIONS RESEARCH CORE (18 CREDIT HOURS)

  • CSCI 303 Introduction to Data Science
  • MATH 332 Linear Algebra
  • EBGN 303 Econometrics or MATH 424 Intro to Applied Statistics
  • EBGN 461 Stochastic Models in Management Science
  • EBGN 455 Linear Programming or EBGN 486 Linear Optimization
  • EBGN 425 Business Analytics Capstone

BUSINESS PRINCIPLES CORE (18 CREDIT HOURS)

  • EBGN 305 Financial and Managerial Accounting
  • EBGN 307 Business Communications
  • EBGN 308 Principles of Marketing
  • EBGN 345 Corporate Finance
  • EBGN 453 Project Management
  • EBGN 485 Strategic Management Capstone

TECHNICAL ELECTIVES (CHOOSE TWO TRACKS)

ADVANCED MANUFACTURING TRACK (SELECT 12 CREDIT HOURS)

  • AMFG 401 Intro to Additive Manufacturing
  • AMFG 422 Lean Manufacturing
  • AMFG 498 Design and Analysis of Experiments
  • ORWE 498 Optimization Models in Manufacturing

FINANCIAL ENGINEERING TRACK (SELECT 12 CREDIT HOURS)

  • EBGN 346 Intro to Investments
  • Financial Risk and Wealth Management
  • Energy and Commodities Markets
  • Financial Technology and Data-Driven Innovation
  • High-Frequency Markets: Models and Data Analysis
  • Quantitative Risk Analysis+

BUSINESS ANALYTICS TRACK (SELECT 12 CREDIT HOURS)

  • CSCI 261 Programming Concepts (required)
  • EBGN 459 Supply Chain Management
  • MEGN 485 Manufacturing Optimization with Network Models
  • EBGN 560 Decision Analytics (required)+
  • EBGN 571 Marketing Analytics+

AI / MACHINE LEARNING TRACK (SELECT 12 CREDITS)

  • CSCI 261 Programming Concepts (required)
  • CSCI 262 Data Structures (required)
  • CSCI 403 Database Management
  • CSCI 404 Artificial Intelligence
  • CSCI 470 Introduction to Machine Learning

TECHNOLOGY MANAGEMENT TRACK (SELECT 12 CREDITS)

  • EBGN 320 Economics and Technology
  • EBGN 360 Introduction to Entrepreneurship
  • EBGN 577 Leading and Managing High Performing Teams+
  • EBGN 572 International Business Strategy+
  • EBGN 562 Strategic Decision Making+

+ indicates that the 400-level course is under development based on the current 500-level version of the course

 

DISTRIBUTED SCIENCE

  • MATH 201 Probability and Statistics for Engineers
  • CSCI 101 & CSC 102 Introduction to Computer Science
  • Select One of the following:
    • CBEN 110 Fundamentals of Biology I
    • GEGN 101 Earth and Environmental Systems
    • PHGN 200 Physics II-Electromagnetism and Optics
    • CHGN 122 Principles of Chemistry II
    • CHGN 125 Molecular Engineering & Materials Chemistry