Carnegie Mellon University offers several degree programs and courses of study which are coordinated by multiple colleges, reflecting the interdisciplinary nature of the university. These are detailed below.
The BXA Intercollege Degree Programs enable students the freedom to individualize their educational experience by promoting integration, balance and innovation. There are three degree programs from which to choose:
Computational Biology is concerned with solving biological and biomedical problems using mathematical and computational methods. It is recognized as an essential element in modern biological and biomedical research. There have been fundamental changes in biology and medicine over the past decade due to spectacular advances in biomedical imaging, genomics, and proteomics. The nature of these changes demands the application of novel theories and advanced computational tools to decipher the implications of these data, and to devise methods of controlling or modifying biological function. Consequently, Computational Biologists must be well trained and grounded in biology, mathematics, and computer science.
The School of Computer Science and Mellon College of Science have joined forces to establish an exciting interdisciplinary program leading to a B.S. in Computational Biology. The goal of this degree program is to provide an intensive interdisciplinary education to enable outstanding students to become leaders in identifying and solving tomorrow's biological problems using computational methods. The program's curriculum is truly interdisciplinary and is designed for students interested in the intersection of Biology and Computer Science.
Applications to the program are invited from current sophomores. Applicants must have completed, or be currently enrolled in 03-231/232 and 15-210 or 15-251. Applicants must submit an essay describing their interest in the program. Completed applications should be submitted to Dr. Maggie Braun at email@example.com in Doherty Hall 1320, Dr. Karen Thickman at firstname.lastname@example.org in Gates-Hillman Center 7403, or Dr. Tom Cortina at email@example.com in Gates-Hillman Center 4117 no later than one week after midsemester grades are released in a given semester.
The Mellon College of Science, the Heinz College of Public Policy and Management and the Tepper School of Business jointly offer a degree uniquely designed to meet the quantitative needs of the finance industry. Modeled after the highly successful Carnegie Mellon Master of Science in Computational Finance, this degree allows students to develop a deep knowledge of mathematics, probability, statistics, and the applications of these disciplines to finance. Students who complete this degree may directly enter the finance industry, enter other industries where an applied mathematics training is appropriate, or pursue advanced degrees in economics, finance or the mathematical sciences. Students entering the work force upon completion of this degree may wish to later complement their undergraduate degree with a Master's degree in Business Administration or other professional degree. Students who might eventually pursue doctoral degrees in economics, finance, statistics or mathematics should seek advising on how to use their electives in order to prepare for graduate work in their chosen disciplines. Students apply for admission to the B.S. program in Computational Finance in the second semester of the sophomore year. Later application is also possible.
The Bachelor of Science in Computational Finance is an Intercollegiate Program. Students who pursue Computational Finance as their primary major may elect to have either the Mellon College of Science (MCS) or the Tepper School of Business (Tepper) as their home college. The coursework required for the major is the same in either case, with one minor exception outlined below. The general education requirements for the degree depend on the student's home college. MCS students must complete the same Humanities, Social Sciences, and Fine Arts requirements as other MCS students. In addition, MCS students are required to take two science courses, one fewer than other MCS majors. Tepper students must complete the Breadth Requirements of the Undergraduate Business Administration Program. Additionally, they must take several courses from the Functional Business Core of that program.
Majors in Computational Finance can tailor their degree program by selecting Depth Electives aligned with their interests and ambitions. MCS students are required to take three depth electives. Tepper students must take two depth electives and 70-391 Finance (MCS students may select 70-391 as one of their three depth electives).
MCS Science Requirements
Students intending to apply to the B.S. program in Computational Finance should take two semesters of calculus, 21-120 Differential and Integral Calculus and 21-122 Integration and Approximation, and 15-110 Principles of Computing.
In addition, in the freshman year students should complete two of the following three courses:
MCS Humanities, Social Sciences & Fine Arts Requirements
Candidates for the B. S. in Computational Finance must complete 72 units offered by Dietrich College of Humanities and Social Science and/or the College of Fine Arts. Of these 72 units, 36 are specified by the detailed curriculum in below. These are:
Two more nine unit courses must be in specific categories as listed in the section on general requirements for a Bachelor's degree in the Mellon College of Science. One in Category 1: Cognition, Choice and Behavior, and one in Category 3: Cultural Analysis. The remaining 18 units may be filled by courses from any of the departments in DC, CFA or Tepper, subject to the list of exclusions and additions maintained by MCS.
Tepper Functional Business Core
The Functional Business Core of the Undergraduate Business Administration Program includes 70-122 Introduction to Accounting, which is required by all Computational Finance majors. It also includes 70-391 , which Tepper students majoring in Computational Finance must select as of one their Depth Electives. In addition, Tepper students pursuing the B.S. in Computational Finance must complete six other courses from the Functional Business Core.
What follows is the detailed curriculum for the degree Bachelor of Science in Computational Finance in the Mellon College of Science. The courses listed are required. The semesters in which the courses are to be taken are suggested.
What follows is the detailed curriculum for the degree Bachelor of Science in Computational Finance in the Tepper School of Business. The courses listed are required. The semesters in which the courses are to be taken are suggested.
To avoid excessive double counting, Mathematical Sciences majors may not count 21-270 Introduction to Mathematical Finance, 21-370 Discrete Time Finance or 21-420 Continuous-Time Finance toward any other requirement.
Sponsored by: H. John Heinz III College Dietrich College of Humanities and Social Sciences Mellon College of Science
Faculty Advisors: Jason D'Antonio, Mellon College of Science James F. Jordan, H. John Heinz III College
The face of health care is changing. The practice of medicine is being fundamentally altered by the forces of change in public policy, health care organizations and in the industry as a whole. The role of individual professionals in this industry is changing as rapidly as the industry itself. Traditional career paths have disappeared overnight to be replaced by new opportunities that require new skills. New organizations are placing new demands on their professional and medical staffs. The criteria of efficiency and financial stability are entering the domains of diagnosis and treatment.
This minor is designed to provide students considering a career in the health professions with an understanding of how these changes are likely to affect their careers. Students will become familiar with the critical policy and management issues and will begin to learn to operate effectively in the emerging health care environment. The curriculum combines economic, organizational, managerial, historical and psychological perspectives on these issues to provide a foundation for a deepened understanding of the changing structure of health care organizations and policy.
60 units minimumCurriculum
Seven courses (a minimum of 60 units) are required to complete this minor. Entry into the minor requires completion of 73-100 Principles of Economics or 88-220 Policy Analysis I or the equivalent by approval.
39 unitsRequired Courses
Students are required to take the following courses.
Human-Computer Interaction (HCI) is a fast growing field devoted to the design, implementation, and evaluation of interactive computer-based technology. Examples of HCI products include intelligent computer tutors, wearable computers, social networking sites, and internet connected personal digital assistants (PDAs). Constructing an HCI product is a cyclic, iterative process that has at least three stages: Design, Implementation, and Evaluation.
The Design stage involves principles of design and human behavior, the Implementation stage principles of computer science, and the Evaluation stage empirical research methods common to several disciplines. There are thus four topical areas to cover in this major: Human Behavior, Design, Implementation, and Evaluation. In slightly more detail, the major involves the following sorts of knowledge and skill:
Eliciting from the client, formulating, and articulating functional specifications
Knowing how human factors and cognitive models should inform design
Knowing the principles of, and having experience with, communication design
Understanding how implementation constraints should inform design
Incorporating evaluation results into iterated designs
Computational literacy, i.e., knowledge sufficient for effective communication and decision making about:
interface construction tools and languages
multimedia authoring tools
data structures and algorithms
Operating systems, platforms, etc.
Usability Testing (Cognitive walkthroughs, user models, heuristic evaluation, GOMS)
There are over 45 courses relevant to these areas that are now offered by eight different departments in four different colleges at Carnegie Mellon (the School of Computer Science, the College of Humanities and Social Sciences, and the College of Fine Arts, and the Tepper School of Business).
a The evaluation and statistics courses are required so that majors will be able to understand and conduct empirical research in HCI. Therefore a mathematically-oriented probability course, such as 36-217 Probability Theory and Random Processes does not fulfill either requirement.
b Design majors do not need to take 51-261 Communication Design Fundamentals as a prerequiste, since they learn similar material in other courses for their major. HCI undergraduates taking Communication Design Fundamentals must go to the School of Design office, MM 110, to register for the course on their assigned day. ID will be required.
c HCI double majors are guaranteed a place in 51-422 Interaction Design Studio, offered every spring by the School of Design for HCI double majors. Students intending to take 51-422 must visit the School of Design office in MM 110 during registration week to fill out an instructor-permission request form. The content of this course is comparable to 51-421 (Fall).
Electives (18 Units)
Electives are intended to provide HCI double majors advanced concepts and skills relevant to HCI or breadth of experience not available from their primary major. Given these goals, most electives will be 300-level courses or higher. Courses at the 100-level and 200-level in one's primary major will not count as electives, although the same course taken by a non-major may count (approval is still required).
Students can take electives in the HCII or courses relevant to HCI from many other departments on campus. All electives are approved on a case-by-case basis. Undergraduate majors request approval of an elective using The HCI Institute’s EASy requrements’ management system. The director of the undergraduate program will approve the request, ask for more information or reject it. The EASy system then deeps a record of the electives approved for a particular student.
The following courses have been approved as electives in the past, organized by the offering department:
All prerequisites can be double counted with any requirements in your primary major. At most three non-prerequisite courses can be double counted with the primary major and the HCI second major. For example, if you are majoring in Cognitive Psychology, then you might want to take 85-211 (Intro to Cognitive Psychology) as one of your three double counts. If more than three of the requirements are already in your primary major, then you must add electives until you have eight HCI courses not required as part of your primary major.
Accelerated Master's Programs
The HCI Institute currently offers a three semester (12-month), 15 course Masters in HCI. Undergraduates who have taken the core courses, and an elective on the 400 level or above will be considered eligible for the Accelerated Masters program. These students, which include all undergraduate HCI majors, can apply for the Accelerated Masters program by November 1st of their Senior year, and can begin the Masters program in the Spring of their Senior year. They can finish the Masters degree after the Summer and Fall.
Admission to the Major
The HCI undergraduate major is currently available only as a second major. Because space is limited in the major's required courses, enrollment in the HCI undergraduate major is currently limited to 25 students in each graduating class. 6 with a primary major in Design, 6 in H&SS, 6 in SCS, and 7 anywhere. Applications are processed once a year, during Spring Break. For more detail, see the website: www.hcii.cs.cmu.edu/Academics/Undergrad/undergrad.html
This degree program is administered under the joint Science & Humanities Scholars Program between the Mellon College of Science and the College of Humanities & Social Sciences. To qualify, a student must be acceptable for admission to both colleges.
The Bachelor of Science in Music and Technology is offered jointly by the School of Music, the School of Computer Science (SCS), and the Carnegie Institute of Technology (CIT).
This program consists of a set of courses that span both music and technology, as well as a capstone composition/design/performance project. Courses in all three areas of study are stipulated in the music and technology undergraduate curriculum and provide for students coming from any of the three areas. In other words, regardless of a student’s entry point — an interest in computer science, electrical engineering, or music — the coursework prescribed will allow the student to gain the requisite knowledge and experience in all three areas. Students will work closely with advisors and will be guided in both course selection and capstone projects.
Neuroscience is an interdisciplinary field in which scientists from many backgrounds apply the tools of biology, cognitive science, psychology, chemistry, mathematics, statistics, computer science, and engineering to develop a comprehensive understanding of brain function at the level of molecules, neurons, brain circuits, cognitive brain modules, and behavior. Research in neuroscience across these disciples has grown substantially in the past two decades, and a solid understanding of the physiological basis of many aspects of brain function both in health and disease has come along with this growth in research. Along with this comes an increasing need for students to begin careers in neuroscience and to be prepared to work on the problems in neuroscience and to bring new answers to the public and to patients. In order to be successful in developing new treatments and answering outstanding questions in the field, neuroscientists need to be conversant in many different levels of inquiry from neurobiology to cognitive neuroscience to computational neuroscience.
The Dietrich College of Humanities & Social Sciences and the Mellon College of Science have joined forces to establish an exciting interdisciplinary program leading to a Bachelor of Science in Neuroscience. The goal of this degree program is to provide an intensive interdisciplinary education to enable outstanding students to become leaders in identifying and solving tomorrow's Neuroscience problems using a variety of methods. The program's interdisciplinary curriculum is designed for students to gain a fundamental understanding of brain function on many different levels and to begin to specialize within the broad field of Neuroscience. Students in Mellon College of Science, Dietrich College, or Science and Humanities Scholars Program may have a primary major in Neuroscience in any of the three concentrations. Students from other colleges may have a second major in Neuroscience in any of the three concentrations, subject to double-counting restrictions.
A degree in neuroscience provides excellent preparation for medical school or other graduate programs in the health professions. These students are aided by the Carnegie Mellon Health Professions Program (HPP), an advisory and resource service for all Carnegie Mellon students who are considering careers in the health care field. (See the HPP section in this catalog or www.cmu.edu/hpp for more information.)
Students wishing to pursue the Neuroscience major through Dietrich College should contact Dr. Lori Holt (firstname.lastname@example.org). Students wishing to pursue the Neuroscience major through the Mellon College of Science should contact Dr. Maggie Braun (email@example.com). Students wishing to pursue an additional major in either the Neurobiology or Computational Neuroscience concentrations should contact Dr. Maggie Braun (firstname.lastname@example.org). Students wishing to pursue an additional major in the Cognitive Neuroscience concentration should contact Dr. Lori Holt (email@example.com).
Students who pursue this major will:
Gain a broad understanding of Neuroscience at many different levels of analysis, including: cellular biology of the brain, brain systems, cognitive brain function, and computational brain modeling
Gain an understanding of the sciences underlying Neuroscience, including: Biology, Chemistry, Computer Science, Cognition and Psychology, and other emerging areas
Develop a comprehensive understanding of brain function in health and disease
Be familiar with neuroanatomy & neurophysiology and their implications for nervous system function
Be prepared for advanced study in neurobiology, cognitive neuroscience, and/or neural computation
Be able to collaborate with Neuroscientists across a wide range of systems and levels of analysis
Prepare for careers in Neuroscience related companies, Neuroscience research, and/or medicine
Be prepared for specialization within subfields of Neuroscience given their concentration selection
Requirements for a B.S. in Neuroscience
All students must complete the following:
General Science Requirements (see section A)
Core Neuroscience Courses (see section B)
Requirements for one concentration (see sections C, D, or E)*
18 additional relevant course hours in their home concentration or other neuroscience areas (some examples listed in sections C, D, E, & F). At least 9 of these hours must be at the 300-level or above.
Their home college’s General Education requirements
Free elective hours to come to a total of 360 total course hours
Students may NOT do two concentrations, but may minor in a related area subject to double-counting restrictions
Computational Neuroscience concentration students must complete 21-122, 15-112, and 36-217 in their General Science Requirements (section A, above) and 15-386 in their Core Neuroscience Courses (section B, above)
Required laboratory, data analysis, & methodological courses. TWO of the following:
Social Brains: Neural Bases of Social Perception and Cognition
NOTE: this list is not restrictive. Concentration advisors can approve additional elective courses that contribute to the student’s neuroscience education, subject to additional approval by the major steering committee.
NOTE: Up to 9 units of applicable undergraduate research course work (e.g. 03-445 or 85-507/85-508) can count as a neuroscience elective (not towards a concentration). A maximum of 27 additional units can be counted as a free electives.
Depending on a student's home college (H&SS or MCS), General Education (GenEd) requirements will be different. GenEd requirements for H&SS, MCS, and SHS are found on their respective Catalog pages.
Free Electives (depending on concentration college)
TOTAL hours to degree
Double-counting restrictions and additional majors & minors
Students may not major in two concentrations.
Students using Neuroscience as an additional major or who have an additional major or minor to Neuroscience may only double-count at most 3 courses between this an their other major or minor (this restriction does not apply to prerequisites, General Education Requirements, or the General Science Requirements – section A).
No student may have an additional minor in Neuroscience. Neurobiology concentration students may not have an additional major or minor in Biology. Cognitive Neuroscience concentration students may not have an additional minor in Cognitive Neuroscience. Computational Neuroscience concentration students may not have an additional minor in Neural Computation.
Neuroscience majors are encouraged to become extensively involved in research. Students may discuss with the major coordinator and concentration advisors to arrange a supervised research project and to prepare a formal thesis that is written and defended in the senior year, according to the guidelines of their college. This does not preclude a student from completing any of the options within the major nor is it the only way in which students can participate in undergraduate research, although it is excellent preparation for graduate studies. Depending on their college, this research program may require a minimum QPA and may contribute to College Honors or Departmental Honors.
NOTE: Up to 9 units of applicable undergraduate research course work (e.g. 03-445 or 85-507/85-508) can count as a neuroscience elective (not towards a concentration). A maximum of 27 additional units can be counted as a free electives.
This major is intended to reflect the interdisciplinary nature of current research in the fields of biology and psychology, as well as the national trend in some professions to seek individuals broadly trained in both the social and natural sciences.
Note: Students entering from the College of Humanities and Social Sciences will earn a Bachelor of Science in Psychology and Biological Sciences. Students in the Mellon College of Science will earn a Bachelor of Science in Biological Sciences and Psychology. Students in the joint Science and Humanities Scholars (SHS) program can complete the SHS educational core and choose either departmental order for their diploma.
Depending on a student's home college (H&SS or MCS), General Education (GenEd) requirements will be different. GenEd requirements for H&SS and MCS are found on their respective Catalog pages.
Sponsored by the Dietrich College of Humanities & Social Sciences and the Mellon College of Science Dr. William Alba, Director Office: Doherty Hall, Room 2201 www.cmu.edu/shs
The Science and Humanities Scholars (SHS) program is for students who wish to build upon a solid academic foundation in the humanities, social sciences, natural sciences, and mathematics. Students in this program enroll in either the Mellon College of Science (MCS) or the Dietrich College of Humanities & Social Sciences (DC). While every student at the university may elect to pursue multi- and interdisciplinary studies, the SHS General Education curriculum assures that students in the program can develop the background for any field of study or combination of studies across both MCS and DC.
SHS students in their first year may elect to live in a Stever House residential cluster that promotes the integration of academic and social interests. The program additionally supports students through the creation of interdisciplinary and multidisciplinary courses.
Before a student declares a major, the program director serves as the student's primary academic advisor, complementing the range of other advising available around the university. After a student declares a major, the director continues to provide supplementary advising for the student, especially on matters of General Education.
Entering first-year students with outstanding credentials who applied or H&SS or MCS may receive an invitation to the SHS Program. Those invited should carefully consider whether this academic program matches their own scholarly interests. Students enrolled in either college may also request to transfer into the Science and Humanities Scholars Program after completing at least one semester at the university.
Science and Humanities Scholars General Education Program
There are 14 requirements in the SHS General Education Program. The curriculum is designed to expose students to a variety of subjects and methodologies, in order to enable them to become better citizens of the world and more complete scholars with a comprehensive range of possible major choices. The SHS curriculum allows for flexibility and independence in selecting courses to fulfill these General Education requirements, and in many cases students in the Program can petition the Director to take alternate courses in addition to the ones listed here.
Language is a tool used to communicate, as well as a way to organize thinking. This university-wide requirement, to be completed in the first year, focuses on the social nature of language and the ways in which writing constitutes thinking.
This requirement seeks to enable students to recognize how cultures have shaped and continue to shape the human experience, as well as analyze material that provide clues as to how these cultures operate.
Students may select an SHS seminar, a full-semester seminar from DC, or two half-semester freshman seminars from MCS and/or DC from a list of courses provided every semester. Past and present SHS seminars include:
Choose a minimum of four courses, at 9 units per category, totaling at least 36 units. Below are examples of courses satisfying these categories. You are encouraged to identify other courses that could fulfill these requirements; see the SHS Director for prior approval.
Cognition, Choice, and Behavior
Courses in this category use model-based analysis to broaden an understanding of human thinking, choices, and behavior on an individual basis across a variety of settings. The following list includes examples from Philosophy, Psychology, and Social and Decision Sciences.
Courses in this category examine the ways in which institutions organize individual preferences and actions into collective outcomes using model-based reasoning. The following list includes examples primarily from Economics, History, and Social and Decision Sciences; similar courses in those and other departments may also fulfill this requirement.
Courses in this category explore definitions of culture and the role culture plays in producing different actions and institutions, as well as the roles of institutions, systems, and human actions in shaping cultural contexts.