- Who should apply?
- What are the prerequisites for the program?
- Which courses are part of the core curriculum and which vary from year to year?
- Can I take classes outside of the Department of Statistics & Data Science?
- What are the costs for the program?
- Do you offer financial aid?
- How much is the application fee?
- What if I can't pay via credit card?
- What is the minimum acceptable TOEFL score?
- What if I am a non-native English speaker and I attended a University in the United States, Canada, Great Britain, or Australia?
- How long are TOEFL scores valid?
- What is the department code for TOEFL scores?
- What is the minimum acceptable GRE score?
- What is the department code for GRE scores?
- How many of letters of recommendation do I need to submit?
- Will you review my application if it is incomplete?
- What if information is received after the deadline?
- How many students do you typically admit?
- How does the MSP prepare students for the job search?
- How quickly do students get full-time positions after the MSP program?

Anyone who wants to work in the exciting field of data analytics and meets the prerequisites.

**Two semesters of calculus based probability and mathematical statistics****One course in linear regression analysis****One course in matrix algebra**

Topics should include: random variables, distribution functions, joint and conditional distributions, functions of random variables & their probability distributions; maximum likelihood estimation, properties of estimators, hypothesis testing, interval estimation.

Typical Textbook: Mathematical Statistics with Applications - Wackerly, et al. or equivalent

CMU classes are: 36-225 and 36-226

Topics should include: exploratory data analysis, linear regression models, validation and interpretation of models

Typical Textbook: Applied Linear Regression Models - Kutner, et al. or equivalent. A good Econometrics course is an acceptable substitute.

CMU classes are: 36-401

The tuition for the MSP program in 2019-2020 is $49,520 per year. Approximate fees per semester are $800. The average cost of rent per month is $1,000 for a 1 bedroom apartment.

The following courses are **core curriculum requirements** of the MSP program:

- 36-601: "Perspectives in Data Science I" [Fall]
- 36-602: "Perspectives in Data Science II"[Spring]
- 36-611: "Professional Skills for Statisticians I" [Fall]
- 36-612: "Professional Skills for Statisticians II" [Spring]
- 36-617: "Applied Linear Models" [Fall]
- 36-618: "Experimental Design & Time Series" [Spring]*
- 36-650: "Statistical Computing" [Fall]
- 36-662: "Data Mining" [Spring]*
- 36-726: "Statistical Practice" [Spring]

In addition to the core curriculum requirements, students must complete an **elective** course in the Fall semester. Electives are offered on a rotating basis; some past topics include:

- 36-661: "Statistical Methods in Epidemiology"
- 36-663: "Multilevel and Hierarchical Models"
- 36-664: "Applied Multivariate Methods"
- 36-666: "Statistical Methods in Finance"
- 36-667: "Data over Space & Time"

MSP students are typically not permitted to take courses outside of the Department of Statistics & Data Science. Normally, all the MSP students take core requirements together as a cohort. Electives are offered on a rotating basis. *Alternative courses within the Department of Statistics & Data Science may be allowed as a substitute should a comparable course of study already have been successfully completed prior to entry into the MSP program — any substitutions are considered on a case-by-case basis and must be approved by the program directors.

We do not offer a financial aid package for the MSP program. Qualified students may be eligible to be hired as graders or teaching assistants for the Department of Statistics & Data Science.

The application fee for the MSP program is $60 from November 15, 2018 through December 15, 2018, and $75 from December 15, 2018 through February 1, 2019. Application fees can be paid by credit card using the online application. In addition, application fees paid by check (made payable to Carnegie Mellon University) can be mailed to the MSP admissions office. As an absolute last resort, we will accept cash.

Application fees paid by check (made payable to Carnegie Mellon University) can be mailed to the MSP admissions office. As an absolute last resort, we will accept cash.

All non-native English speakers are required to submit valid TOEFL scores. A desirable total TOEFL score is 105 or higher. Speaking TOEFL scores should be at least 23.

Institution Code: 2074

Department Code: 59

If you have attended an undergraduate institution in the United States, Canada, Great Britain, or Australia we will accept an official copy of your expired TOEFL scores. IELTS is also acceptable. **Applications without TOEFL (or IELTS) will not be considered. **If your submitted TOEFL is expired, you should have some documentation of your current English language fluency is **required**, for example, comments about your English language fluency discussed in a letter of recommendation from a Professor or from an ESL instructor.

TOEFL scores are valid for 2 years from the date of the exam.

Institution Code: 2074

Department Code: 59

We do not have a stated minimum GRE score. We are interested in the student's entire application package, including course work, experience, and recommendations; however, most admitted MSP students have GRE Verbal scores above the 50th percentile, GRE Math scores above the 90th percentile, and GRE Analytic Writing scores above 3.5.

Institution Code: 2074

Department Code: 0705

Three, at least two of which should be faculty recommendations.

Incomplete applications will not be eligible for review by the admissions committee.

We will accept application materials that are post-marked by February 1st.

In 2018, we admitted about 12% of the 450 program applicants.

Students are prepared for the job market through a plethora of outlets interwoven throughout the MSP program including, but not limited to, the following: The curriculum specifically focuses upon the computing skills, statistical application/theory, & professional skills necessary to be successful in data science and statistical consulting positions. We review and help edit students' résumés, cover letters, LinkedIn profiles, etc., and practice the skills necessary to perform well in both technical and behavioral interviews. Additionally, the MSP frequently pairs with the CMU Career & Professional Development Center (CPDC) and the Global Communication Center (GCC) to complement, amplify, and practice communication skills throughout the program. Guest speakers, company recruiters, & current professionals across industry verticals are often invited to discuss the day-to-day experiences and insights of active data scientists and statistical consultants. The MSP also fosters an alumni network and an internal job/internship board where opportunities are shared among and across cohorts.

Every year, **>90%** of students land a job within the field of statistics & data science or matriculate into a Ph.D. program within 90 days of graduation. A recent survey by the Carnegie Mellon University Career and Professional Development Center shows the wide variety of offers our students receive upon graduation; you can **download the results here**.

- Check out the Online Application.
- Read through our Curriculum.
- See where Alumni have gone: Your Future.