Lockheed Martin- MS Engineering, Specialization in Business Analytics

lockheed martin

Overview
- MS Engineering, specialization Business Analytics was designed by SJSU's CoE and Lockheed Martin to develop the next generation of leaders with strong skills in business analytics.
  The program curriculum was designed to facilitate interdisciplinary education at the graduate level. Customized course topics for LM include:
  
  - Business Analytics
  - Engineering Management
  - Data Visualization and Management
  - Systems Engineering
  - Forecast for Business Analytics
  - Advanced Operations Planning & Control
  - Data Mining
  
  LM’s engineers will be equipped with analytics skills that enhance their ability to understand and manage business data and transform data into impactful business solutions.
PreQualify
- PreQualify
  
  - Currently not accepting applications and pre-qualifications
  
  First cohort will launch in Fall 2022.
  - Application deadline is July 1, 2022, document deadline is July 20, 2022.

Program Schedule and Descriptions
- Cohort 1 [pdf]
  
  BUS 235A - Intro to Business Analytics - Many successful companies derive their competitive edge from the innovative use of business analytics. Students will master several fundamental skills for business analytics: data manipulation, data visualization, and statistical modeling. Students will make extensive use of the R statistical environment, a cutting-edge business analytics tool.
  
  ENGR 203 - Engineering Management - Students will develop contemporary expertise in the principles of engineering finance, management, IP, operations management, performance metrics, and their application to design, development, and commercialization of new products and services in dynamic environments.
  
  BUS 235E: Data Visualization and Management - Learn the essential SQL and Tableau skills for business analytics. Use SQL to select, filter, sort, aggregate, and join data. Learn a variety of visualization methods in Tableau, including building interactive Dashboards and telling stories with data.
  
  ENGR 201 - Engineering Analysis - Mathematical techniques for solving engineering problems. Topics include linear systems analysis, probability and statistics, and differential equations. Applications include modeling and simulation, optimization, projection, experimental design. Several computer projects are required.
  
  BUS 235F - Forecasting for Business Analytics - Learn about time series data and forecasting methods for business. Identify trends and seasonal patterns.
  Perform smoothing, regression modeling, and ARIMA using modern business analytics software.
  
  ENGR 202 - Systems Engineering - Large scale system design and development. Integrated approach including mission statement, synthesis of design concepts, tradeoff studies, risk assessment and interactions encountered in the optimal design, development, manufacture and test of systems.
  
  BUS 235C - Data Mining - Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in transactional databases or gathered through web mining. Topics: predictive analytics, association rules, clustering, and various modern classification techniques.
  
  ISE 241 - Advanced Operations Planning and Control - Design, implementation and evaluation of production and service systems; manufacturing strategy, choice of processes, resources planning, production and procurement control, forecasting methods, scheduling considerations and decision-making techniques.
  
  ENGR 295A - Master Project I - In-depth developmental engineering work relating to problems of interest to an individual or a group of students. Project includes proposal formulation, analysis, design, implementation, and testing.
  
  ENGR 295B - Master Project II - A continuation of ENGR 295A. Students complete the in-depth project, write a detailed project report and make a comprehensive presentation and demonstration of the project.
Program Learning Outcomes (PLOS)
- PLO1: Understand the key functions of business and the central role of analytics in the business landscape.
  
  PLO2: Understand and critically apply the concepts and methods of business analytics.
  
  PLO3: Develop the ability to collect, analyze, and interpret data using computer programming and analytics tools.
  
  PLO4: Apply analytical models, data-driven methods and information visualization for making business decisions and present solutions.
  
  PLO5: Develop an advanced-level ability to evaluate the impact of analytical solutions within the broader context of the organization and society.
Program Details
- - Ten courses (30 units) are required
  - 8 technical courses, 24 units
  - 2 MSE project/Thesis courses (ENGR 295A & ENGR 295B), 6 units
  - Each course meets one night (4 hours) a week for 11 weeks
  - Courses are delivered year-round in fall, spring, and summer
Key Benefits
- - Program focuses on Lockheed Martin (LM)
  - Courses developed by SJSU professors and Lockheed subject matter experts
  - Courses are offered at Lockheed Martin Sunnyvale campus and hybrid delivery available for remote students
  - Program is designed and delivered as per a predetermined schedule
  - Class meetings one night/week
  - Take classes together with other students in the same cohort
Class Location
- Lockheed Martin Sunnyvale campus

Disclaimer

**The program is open to Lockheed Martin employees only.