Welcome to the Machine Learning Department at Carnegie Mellon UniversityWe are extremely pleased that you have decided to become a member of our Department; we think it is a very special collection of faculty and students. If you have any questions, please send email to Dorothy Holland-Minkley.
Student Record Creation
MSML Student Data Sheet [.pdf]
Completing the MSML Student Data Sheet is the first step in letting us enter your information into the Student Information System. Complete this form as soon as possible and email it to Dorothy Holland-Minkley at email@example.com.
CMU Student ID Card
Instructions for submitting your photo. You need to complete the MSML Student Data Sheet and be entered into the system before receiving your Andrew UserID and submitting your photo.
Photograph for Website
While the photo for your ID card should be relatively formal, a more lively photograph is ideal for the Machine Learning Master's Students Page. The photograph should be of just yourself (not a group photo), but a picture with your hometown, favorite restaurant, or other interesting location as the backdrop would add personality. Send a large, uncropped photograph to Dorothy; she will edit it to the appropriate size (which is 800x800 pixels at the appropriate level of zoom).
Health History Form
All incoming students must complete Health History and Immunization information by June 30. This form is available on the Student Health Services website.
The Health Services new student website lists the immunizations that are required for CMU students.
If you are unable to obtain these vaccinations prior to arrival on campus, you can receive them from University Health Services prior to the first day of classes. Failure to comply will result in administrative suspension and removal from university housing.
If you have questions, please call Student Health Services at 412-268-2157.
You must provide official transcript(s) confirming your graduation no later than July 1, 2022. If you will not have graduated by then, inform Dorothy of your anticipated graduation date.
Due to COVID-19, electronic transcripts are preferred. However, in order to preserve security features, they would need to be sent directly from the school to Dorothy, not scanned by the incoming student. If your school does not provide electronic transcripts, contact Dorothy to request a physical mailing address instead.
International Students: I-20 and F-1 Visa
If you are not a U.S. person and need a student visa, you will need an I-20 form, which will allow you to obtain the F-1 student visa. However, the I-20 CANNOT BE ISSUED until after you have provided the necessary information to CMU's Office of International Education (OIE).
After you have sent the MSML Student Data Sheet (the top item on this list) to Dorothy Holland-Minkley, she will use it to request your Andrew account be created. After your account has been created, notify Dorothy so that she can request that OIE send you the necessary form to complete so that they will be able to issue your I-20.
Please note that you are required to provide proof of financial support for the first year in the MS program. Information is on the OIE webpage.
Classes at Carnegie Mellon begin on August 29, 2022. The full academic calendar can be found on The HUB website.
The following 2 courses must be taken in the first semester:
- 10-701 Introduction to Machine Learning or 10-715 Advanced Introduction to Machine Learning
- 36-700 Probability & Mathematical Statistics or 36-705 Intermediate Statistics
Master's students usually take 10-701 Introduction to Machine Learning and 36-700 Probability & Mathematical Statistics, while PhD students are required to take 10-715 Adanced Introduction to Machine Learning and 36-705 Intermediate Statistics. A comparison of the introductory Machine Learning courses can be found here.
Enrollment in 36-705 Intermediate Statistics is controlled by the Department of Statistics & Data Science and is generally very tight. If you are considering pursuing the PhD in Machine Learning and want to take both 10-715 and 36-705 (the courses required for the PhD), email Dorothy with your request.
You should also register yourself for a 3rd course, which should be from the Core or Elective lists. If you already have ML experience, Core courses are a great pick. Otherwise, an Elective can be a better way to start:
For complete information on how to register for courses, please see:
For full schedule of classes go to: https://enr-apps.andrew.cmu.edu/open/SOC/SOCServlet/search
To register for courses go to: https://www.cmu.edu/hub/sio/about.html
After course registration begins, it will remain open through the start of classes. Since Electives may fill up quickly, registering early is strongly recommended.
You must be registered for at least 36 units to be considered full-time by the university. 1 unit is defined as requiring an average student to spend about 1 hour/week to earn an average grade in that course, implying that a 36-unit courseload should take about 36 hours/week of work. However, Machine Learning MS students must earn at least a B- for a course to count towards their degree, and most students aim to earn As, meaning that 36 hours/week is a low estimate. Because of this, and because it can take students time to acclimate to a new learning environment, Machine Learning MS students may only take 36 units in their first semester. (Small exceptions can be made for a student looking to add on a 3-unit Physical Education class or similar, but it should not be a class that requires additional academic work.)
Most courses are 12 units. Some courses are mini courses; they are usually 6 units. Two 6-unit courses can be paired together to count as one full elective. Note that if a 6-unit course lasts for an entire semester, then it requires about 6 hours/week of work; however, if a 6-unit course lasts for half a semester, it requires about 12 hours/week of work for that half. This means that if you want to take two half-semester mini courses, you should take them in different halves of the semester. In the course catalog, Section A1 (or B1, C1, etc.) is for a first-half mini, and Section A2 (or B2, C2, etc.) is for a second-half mini. Section A (or B, C, etc.), without any numbers, is used for a full-semester course.
Students wishing to engage in research must find a research advisor before registering for research units. It is generally hard to find a research advisor before attending the Machine Learning Orientation, so students are encouraged to register for a full-time schedule of courses now and then simply drop one later if they choose to replace those units with research.
Classes fill up quickly, so email Dorothy if you are placed on a waitlist for a course.
Graduate Student Orientations
The date for Graduate Student Orientation for all incoming Graduate Students at Carnegie Mellon has not been announced, but it usually begins around August 15.
The Machine Learning Department Graduate Orientation will be in the week before Fall classes begin. This is your best opportunity to learn about the department and meet our faculty and other students.
The International Graduate Student Orientation welcome session has not yet been scheduled, but is expected to be 1-2 weeks before classes begin and to be optional. The mandatory orientation/check-in after you arrive in the country is expected to be possible to complete online.
Your Andrew UserID is automatically assigned when you are entered into the Student Information System. It is determined by an algorithm; you can't select your own UserID. There will be a short delay between when you return your Student Data Sheet to Dorothy and when your Andrew UserID is ready, since multiple departments are involved in this process. The university Andrew network is needed to view your student account, register for courses, sign up for health insurance, etc.
Students will need their Admission ID number as well as their Andrew UserID and password to access all secure sites at Carnegie Mellon University. This includes Student Information Online (SIO) where students can access their electronic bills (E-Bills), account activity, course schedule, and grades (if applicable), as well as update their contact information.
For problems with your Andrew Account: https://www.cmu.edu/computing/services/security/identity-access/account/index.html
To access your personal information in the Student Information Online (SIO) you'll need your Admission ID, last name and birth date.
All full-time students are required to carry health insurance and will be assessed a charge for the individual basic mandatory plan offered through the university student health insurance program. The charge will appear on the invoice of the first semester of attendance in the academic year.
Each student is required to take one of the following three actions:
- Enroll in the basic plan as charged,
- Upgrade the benefit plan by enrolling in the enhanced student health insurance options during the open enrollment period, or
- Apply for a waiver from the mandatory plan.
Students, especially those not covered by their parents' American health insurance plans, are strongly encouraged to enroll in the university's health insurance plan. The coverage is much better than most Americans have access to and the price is much less than most Americans pay. In addition, it is easy to use at the student health clinic on campus. International students should be particularly cautious of scams targeting those who are not very knowledgable about the American medical system, since seemingly good deals can result in massive charges for those who do not fully understand the American system of deductibles, copayments, pre-approval, in-network and out-network services, yearly and lifetime payment caps, etc.
You must enroll during the open enrollment period, which is between June 1 - July 15, 2022.
Payment for university health insurance is due August 15. You are responsible for paying the premiums for insurance by submitting payment to the HUB. If there is an outstanding balance after August 31, interest will be charged. There is a monthly payment plan for health insurance that has to be paid by the end of the fall semester. Information related to the monthly payment plan can be found here: https://www.cmu.edu/health-services/student-insurance/plans.html
Please refer to the University Health Service's website for complete informationImmunization requirements for new students can be found here, and student health insurance requirements can be found here.
Questions about health services can be directed to:
CMU does not have on-campus housing for graduate students, but it does have resources to help new students find off-campus housing including general information and links to some available apartments. For detailed information on housing and related issues, you may want to visit the CMU Housing Office website. They can provide computerized listings of spaces available to match your specific needs.
CMU's Graduate Student Association has created a Graduate Student Housing Handbook [.pdf] with useful information about neighborhoods, common prices reported by actual CMU students, and questions to keep in mind. They also answer some Frequently Asked Questions about housing on their website.
There is an unofficial Facebook group that may be useful as well. (Note that this is NOT an official CMU resource and participants aren't necessarily from CMU.)
Finally, if you are interested in sharing an apartment with another Machine Learning graduate student, the MLD Slack group is a great way to connect with current students who have an empty room or with other new students who would like to share a place. (If you have your Andrew ID and haven't already been invited to join this Slack group, email Dorothy for an invite.)
If you will be looking for an apartment before you arrive, the best times are either early May or mid-July. Most leases are for one year, ending in May or August. You can sign a lease any time if the space is available - but people don't always let the landlords know whether they'll be renewing until 30 - 45 days before the end of the lease. There is usually a little overlap in August -- old leases may not be over until the end of August, but you need a place by mid-August -- but it's often possible to "bunk in" with older students for a few days until your place becomes available. You can also look for short-term off-campus housing.
Course registration begins
|June 1||Enrollment/waiver begins for student health, dental, and vision insurance (Student Health Plan) for incoming students. Eligible participants have a specific enrollment period once each academic year (called "open enrollment") for their medical enrollment or waiver decisions|
|July 1||Send transcript to Dorothy Holland-Minkley, or provide a time estimate for when it will be available|
|July 15||Deadline for enrollment in health insurance|
|July 31||Deadline to submit your photo for your Student ID Card|
|August 1||Submit health history and immunization forms to Health Services via HealthConnect.|
University-wide Graduate Student Orientation - In-person; optional but recommended for all students new to CMU
Approx. Aug. 15-20
|International Orientation Welcome Session - In-person; optional|
|Machine Learning Department Orientation - In-person; optional but strongly recommended
(Program requirement discussion, Faculty research talks)
|August 29||Fall Classes Begin|
|September 5||Labor Day Holiday - no classes|
|Approx. September 13||Last day to add a course to your schedule or to submit the form to audit a course|
|Approx. October 11||Last day to drop a course without it appearing on your transcript|
|October 17 - 21||Fall Break - no classes|
|Approx. November 16||Spring Registration|
|November 23-25||Thanksgiving Holiday - no classes|
|December 9||Last Day of Fall Classes|
|December 12-19||Fall Final Exams|
|January 17||Spring Classes Begin|
|March 6-10||Spring Break - no classes|
|April 13-15||Spring Carnival - no classes|
|April 28||Last Day of Spring Classes|
|May 1-9||Spring Final Exams|
Career Fairs are generally held in the first week of September.
All Machine Learning graduate students are required to complete a summer practicum (either an internship or research related to machine learning). Most MS students choose to complete this in the form of a paid internship, and the September career fairs are an excellent way to arrange these internships.
Information about which employers will be in attendance will be posted on the Career and Professional Development Center website later in the summer, along with opportunities to attend free workshops on how to prepare for the career fairs, how to make a good first impression, and what to expect in an interview. Katelyn Livingston is the dedicated Career Consultant for the School of Computer Science Master's programs.
Formal business attire is always required at career fairs, and we recommend students plan ahead and bring a suit or similar interview clothing with them. Similarly, it reduces stress to revise your resume in advance, although printing it on resume-quality paper can be done on campus at Tartan Ink.
The Career and Professional Development Center has created an online Summer workbook for students to work through to prepare their resume, cover letter, etc. Completion of this workbook is recommended for all students, and mandatory for students in the MS in Machine Learning -- Applied Study variant.
International students completing an internship in the United States will need to work with the Office for International Education to arrange for Curricular Practical Training authorization. (CPT authorization is not required for on-campus research.) While these documents aren't required until March, students should be aware that federal law requires that international students' internships fit entirely within the summer semester (tentatively scheduled to be May 15 through August 25, 2023).
If you are not a U.S. Citizen you will receive the I-20 Form, which will allow you to obtain the F-1 student visa. However, the I-20 CANNOT BE ISSUED until you have an Andrew account and have sent the necessary information to the Office of International Education. Please note that you are required to provide proof of financial support for the first year in the MS program. If you have dependents, you will be required to show that you have additional funds available to support the dependents.
Note that all students applying for the F-1 visa are required to pay a SEVIS fee in addition to any other required filing fees. You will also have to pay to have the documents shipped to you.
If you are already in the U.S., you will request a transfer through your Foreign Student Advisor rather than receiving a new I-20 form. However, you will still need to complete all of the standard international student information for CMU. For additional information regarding visas you may want to visit the Office of International Education website.
If you are already a CMU student, you should instead use the Changing Your Program form from OIE. It must be submitted at least 30 days before your current I-20 expires or before the change of program occurs, whichever is first.
International students will also receive information with the I-20 Form regarding the International Student Orientation program sponsored by the Office of International Education. Checking in with OIE after arriving in the US is mandatory.
During the past few years, some international students' initial visa requests were denied. However, when re-submitted, all but one were approved and the students were able to arrive on time (excepting issues caused two years ago by the COVID-19 pandemic). The one exception was an applicant who was determined not to be a native speaker and who declined to take an English language proficiency test to prove proficiency. Visa delays seem particularly common for students from China.
It is hard to know what the COVID-19 impact will be on visa applications. We encourage students to apply for visas as soon as is safe and practical, and to keep in contact with both us and OIE about the process.
It is common for students studying computer science to experience administrative processing delays when getting a visa. Please be aware that the major code on your I-20 will show "artificial intelligence" instead of "machine learning" because there are only a limited number of major codes provided by the US government. This is not a cause of concern; we cannot change this and all areas of computer science are considered sensitive technologies. If there is anything you need to do, you will be contacted with information.
Advice for Non-Native Speakers:
The Student Academic Success Center provides advice for incoming students who are non-native English speakers. The workshops and online resources provided are valuable resources for nonnative English speakers.
Office of International Education:
OIE provides answers to Frequently Asked Questions.
Machine Learning Department Orientation
Machine Learning Department Orientation
The Machine Learning Department Orientation is held the week before classes begin.
The Machine Learning Department Orientation is intended primarily to introduce you to the Machine Learning Department and the School of Computer Science. Faculty will give presentations about the projects they are working on. The research presentations will give you an idea of the kind of research that goes on here in Machine Learning and throughout SCS.
Student ID Card
Your ID Card is your official Carnegie Mellon photo identification. It is your access to campus buildings, athletic facilities, and the Port Authority Transit system. You must have an ID Card as a graduate student.
To obtain your card:
- Submit your photograph via the ID Photo Submission Application before July 31.
- Distribution methods for Fall 2022 are still being determined. Dorothy will email you when the method for the Machine Learning Department is known.
(The tuition on that page is accurate, but Graduate Fees will be announced later in March: https://www.cmu.edu/sfs/tuition/graduate/index.html )
Payment Options: https://www.cmu.edu/sfs/billing/payments/index.html
Your student account information can be found at: http://www.cmu.edu/hub/sio