[关闭]
@1007477689 2020-04-15T08:36:50.000000Z 字数 5459 阅读 414

GWU - MS-business-analytics

MasterDegree


I. Academic Program

  From the fundamentals to advanced techniques, our comprehensive curriculum provides students with the skills they'll need to develop and apply modern data-driven solutions.

Overview

  Initiated in 2013, the GW School of Business MS in Business Analytics (MSBA) program trains students to master real-world analytics and consulting skills for effective data-driven decision making. Since its inception, the program has worked with leading analytics organizations (including IBM and Deloitte) to develop, and continue to enhance, a rigorous and balanced curriculum that encompasses the technical, quantitative and qualitative skills for effectively developing, deploying and communicating business analytics solutions.

  The curriculum is a distinctive blend of analytics methods (descriptive, predictive, and prescriptive), applications (elective courses in analytics applied to a specific functional area or industry), soft skills (consulting, communication and team dynamics), and technology (SAS tools, R, Python, SQL, no-SQL and other current and trending technologies). The culmination of the course of study is a practicum project in which students work within a team of peers to apply their newly acquired expertise to real-world business challenges sponsored by our partner industry organizations.

  The program closely collaborates with its Advisory Group of leading analytics organizations (such as IBM, Deloitte, SAS, Accenture, MITRE and Attain) on the development and overall growth of the MSBA program, assisting students with their practicum projects, and providing career development and networking opportunities.

Curriculum

  The MS in Business Analytics curriculum is a distinctive blend of methods, applications, skills and technology.

Methods

  Descriptive, Predictive, and Prescriptive Analytics.

Applications

  Elective courses in Analytics applied to a specific functional area or industry.

Skills

  Workshops in communication and consulting.

Technology

  Hands-on exposure to industry standard Analytics tools/software including emphasis on the SAS tools suite, R Programming, Python, SQL, no-SQL, Tableau and other current and trending technologies.

Credits

  The MSBA program is 33 credit hours long. Three-credit courses are a full semester long (14 weeks). Courses that are 1.5 credits are seven weeks in length and are offered either in the first or second half of a semester.

Program Duration

  Students can choose one of three time-frames in which to complete the degree:

Accelerated Full-Time

12 Months | Fall, Spring and Summer

  Ideal for students who are not working while attending the MSBA program. Students must take courses in the summer term to complete the degree within 12 months. For more information refer to the Accelerated Full-Time Sample Degree Plan.

Full-Time

16 Months | Fall 1, Spring 1 and Fall 2

  Ideal for students who are not working full time but want to complete an internship during the summer term. Students are eligible, but not required, to take courses during the summer term. The degree plan is similar to the Full-Time Sample Degree Plan but students take their electives in the second fall term rather than the summer. Please note, some MSBA electives are only offered in the summer.

Part-Time

24 Months | Fall 1, Spring 1, Fall 2 and Spring 2

  Ideal for students with full-time jobs or those seeking a moderate pace. Students can complete the MSBA program in 24 months, but have up to five years to complete all degree requirements. Students are eligible, but not required, to take courses during the summer term. Please refer to the Part-Time Sample Degree Plan.

II. Admission

  Admission to the MSBA program is competitive. Applicants must present a bachelor’s degree from a regionally-accredited college or university and meet the minimum requirements.

III. Tuition and Financial Planning

  From scholarships and fellowships to loans and work-study, a variety of resources are available to help finance your degree.

MSBA Tuition and Financial Planning

  From scholarships and fellowships to loans and work-study arrangements, we offer a wealth of resources to help you finance your MS in Business Analytics degree.

Tuition and Fees

  Please visit the Student Accounts Office for a complete list of tuition rates and fees.

Other Expenses

Student Health Insurance

  GW offers voluntary comprehensive health insurance through Aetna Student Health. All F-1 and J-1 international students are automatically enrolled. See the Student Health Insurance page for rates and other important information.

Housing

  View information about on-campus and off-campus housing for full-time GW graduate students.

Financial Resources

  From scholarships and fellowships to loans and work-study arrangements, we offer a wealth of resources to help you finance your degree.

IV. MSBA Courses

  An overview of current courses offered in the MS in Business Analytics program.

MSBA Course Requirements

  The following requirements must be fulfilled: 33 credits, including 25.5 credits in required courses and 7.5 credits in elective courses.

Required

DNSC 6203 Statistics for Analytics I
DNSC 6206 Stochastic Foundation: Probability Models
DNSC 6210 Decision and Risk Analytics
DNSC 6211 Programming for Analytics
DNSC 6212 Optimization Methods and Applications
DNSC 6213 Statistics for Analytics II
DNSC 6216 Business Analytics Skills Workshops
DNSC 6217 Business Analytics Practicum
DNSC 6219 Time Series Forecasting for Analytics
DNSC 6231 Consulting for Analytics
DNSC 6279 Data Mining
ISTM 6212 Data Management for Analytics

Electives

7.5 credits in elective courses selected from the following:

DNSC 6214 Pricing and Revenue Management
DNSC 6215 Social Network Analytics
DNSC 6225 Business Process Simulation
DNSC 6278 Big Data Analytics
DNSC 6290 Special Topics (Machine Learning)
DNSC 6290 Special Topics (Supply Chain Analytics)
DNSC 6290 Special Topics (Natural Language Processes)
DNSC 6401 Sustainable Supply Chains
DNSC 6403 Visualization for Analytics
DNSC 6404 Sports Analytics

Full-Time Sample Degree Plan (PDF)

https://business.gwu.edu/sites/g/files/zaxdzs1611/f/MSBA%20Full-Time%2016-Month%20Sample%20Course%20Plan.pdf

Part-Time Sample Degree Plan (PDF)

https://business.gwu.edu/sites/g/files/zaxdzs1611/f/downloads/MS-Business-Analytics_Part-Time-Plan_2016.03.18.pdf

添加新批注
在作者公开此批注前,只有你和作者可见。
回复批注