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商业与经济

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 学校:  

伦斯勒理工学院

   硕士生项目

MS in Business Analytics

标准考试成绩要求

TOFEL:88

IELTS:6.5

学年学制

9 Months

学年学费

$70,719

奖学政策

提供奖学金

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

Lally Graduate Program applicants apply to either the MBA or individual M.S. programs. Our holistic admission process considers many factors, so we encourage you to submit all application components on time for careful consideration.

If you have any additional questions, please contact us at (518) 276-6565, lallymba@rpi.edu (MBA) or lallyms@rpi.edu(M.S.).

Fall start date only

GMAT (preferred), GRE accepted

Statement of Background and Goals

TOEFL score of 230 CBT/88 iBT/570 PBT (IELTS 6.5 or PTE 60)

TOEFL speaking subscore of 22 or IELTS speaking subscore of 6.5*

申请材料清单

The following materials must be submitted via the online application:

Nonrefundable application processing fee of $75.

Statement of Goals

Resume or curriculum vitae.

Two letters of recommendation.

The following materials may be uploaded via the online application and used for review purposes only:

Copies of official test scores (GRE, GMAT, TOEFL, IELTS, and PTE)

Copies of official transcripts and evidence of degrees earned, in English and in the native language, of all post-secondary education (including transcript keys)

Copy of your passport (international students only)

If admitted, the following materials must be sent directly to the Graduate Admissions Office*:

Official transcripts and evidence of degrees earned, in English and the native language, of all post-secondary education.

Official GRE, GRE Subject tests or GMAT scores.

Official TOEFL or IELTS scores for international applicants.

GMAT (preferred) or GRE Scores

Statement of Goals

Academic Transcripts

Two Letters of Recommendation

International Applicants: TOEFL (88 or above) or IELTS (6.5 or above).

Optional: ETS Personal Potential Index (PPI) (Applicants who have been away from school for more than one year are encouraged to supply the PPI as a supplement. We recognize that time away from the school environment may impact GMAT/GRE scores.)

截止申请时间:

3月1日 Rolling

专业介绍

Businesses that know how to analyze and apply data (big or small) outperform competitors by up to 20 percent. Why, then, do so few companies draw powerful insights from data? The answer is simple – a lack of in-house talent. Lally's Master’s of Science in Business Analytics will prepare you to meet the biggest demand of 21st century business.

Our curriculum follows foundational business concepts with data management and statistical modeling, which you will customize with electives that include natural language processing, machine learning, marketing, and supply-chain management. You will learn to think critically about data. You will have access to diverse data sets, powerful computing and visualization resources, and real-world applications possible only at Rensselaer. We offer a small class size, dedicated faculty, and hands-on experience through class projects, and a capstone course with industry partners. The experience at Lally also includes mentoring from a highly engaged advisory board of executives in the business analytics profession .

“Rensselaer’s Lally School of Management offers a Master of Science in Business Analytics that combines Rensselaer’s history of excellence in technology with the Lally School’s business reputation for a perfect balance.” - Value Colleges' Top 50 Residential Big Data Graduate Programs of 2016

Our students come from the U.S., China, and India, as well as other countries. Students’ backgrounds range from business, to sciences, to engineering. Eight-six percent of our 2016-2017 graduates had jobs within three months of graduation, with an average salary of $73,856. Companies that have hired our graduates include: IBM, Research Now, Dentsu Aegis Network, Cisco Systems, The Comcast Corporation, Facts & Measures, Accenture, Dish Network, WalMart, QueBIT, LL Bean, and CDPHP.

Graduates are prepared to take first steps toward a transformative career as a data scientist, quantitative consultant, market and consumer analyst or any of the large and rapidly growing data driven positions within industry.

课程设置

  • MGMT 7770 Prof. Development Workshop 1/Career Workshops (Fall) Wed. 9am, 12pm & 3pm sections
  • MGMT 7780 Prof. Development Workshop 2/Career Workshops (Spring) Wed. 9am,12pm&3pm sections
  • MGMT 6100 Statistics for Managerial Decision Making (Fall) Tues. 6-8:50pm or Fri. 9-11:50am
  • MGMT 6190 Introduction to Accounting and Financial Management (Fall) Thurs. 6-8:50pm *
  • MGMT 6510
  • MGMT 6520
  • MGMT7760
  • MGMT 6560 Technology Fundamentals for Analytics (Fall) Mon. 6-8:50pm
  • MGMT 6570 Advanced Data Resource Management (Fall) Wed. 6-8:50pm
  • MGMT 6790 Business Analytics Capstone (Spring) Tues. 10am -12:50pm or 12:00 – 2:50pm
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