The MDS Business Track





Kerry Back

Overview

  • 6 half-semester courses
  • Marketing I and II in fall (BUSI 711/712)
  • Finance I and II in spring (BUSI 721/722)
  • Operations I and II in summer (BUSI 731/732)

Marketing I

  • Intro to key data-driven marketing concepts
    • Market research, new product launches, customer segmentation and targeting, loyalty programs, pricing, online advertising.
    • Case analysis and quantitative tools.
  • Course designed and videos by Arun Gopalakrishnan, Assistant Professor of Marketing
  • Course delivered by John Franklin, Lecturer in Management

Marketing II

  • Deeper dive into data-driven approaches to marketing questions
  • Topics include churn forecasting, designing surveys, segmentation, and positioning.
  • Software used includes Excel, JMP Pro 16, and Python.
  • Same instructional team as Marketing I

Finance I

  • Intro to investments, including analysis of corporate investment projects
    • Loan calculations and retirement planning
    • Markets, assets, and statistical properties of returns
    • Efficient portfolios of assets
    • Corporate investment projects
  • Taught by Kerry Back (https://kerryback.com)

Finance II

  • Quantitative equity investing
    • Return prediction by machine learning from company characteristics updated daily in a SQL database
    • Paper trading via python API at Alpaca Markets
  • Futures and options markets
    • Risk management and investing
    • Pricing models
  • https://busi721-901.kerryback.com and https://busi722-901.kerryback.com

Operations I

  • General introduction to operations management
    • Process Analysis
    • Inventory Management
    • Queuing Theory
    • Supply Chain
    • Statistical Process Control
  • Taught by Christopher Burke, Lecturer in Management

Operations II

  • Project based course

    • Build an end-to-end data-driven solution for optimizing wind farm operations in the energy sector.

    • Apply mathematical modeling and optimization techniques to real-world energy supply chain problems.

    • Students work in teams, collaborating on a shared GitHub repository.

  • Taught by Gibby Dunleavy, Lecturer in Management