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Browse Programs | TheUniFinder

Showing top programs at Carnegie Mellon University. To view all programs, visit the official site →

Programs

58 in catalog · 24 on this page

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Carnegie Mellon University · United States

2025 Fellows - Carnegie Mellon University

The "2025 Fellows" program at Carnegie Mellon University highlights doctoral candidates and postdoctoral researchers engaged in cutting-edge innovation and commercialization. These individuals are deeply involved in advanced research across various disciplines, including robotics, artificial intelligence, human-computer interaction, electrical and computer engineering, chemistry, materials science, and mechanical engineering. Many fellows are simultaneously developing startups based on their research, aiming to translate academic discoveries into real-world applications and solutions. The program showcases a commitment to fostering entrepreneurship and driving technological advancements from within the university's research community.

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Carnegie Mellon University · United States

Accelerated Master's Programs at the Information Networking Institute (INI)

Carnegie Mellon University's Information Networking Institute (INI) offers a unique opportunity for highly qualified current CMU undergraduate students to accelerate their graduate studies. Through these accelerated programs, you can earn a Master of Science (M.S.) degree in as little as two semesters (one academic year) after completing your bachelor's degree. This pathway allows for a seamless transition from undergraduate to postgraduate work within INI's specialized, interdisciplinary curriculum. The INI's master's programs are designed to provide deep technical knowledge and foster interdisciplinary learning. You will have the flexibility to draw upon coursework and research opportunities from across the university, including the College of Engineering, School of Computer Science, Tepper School of Business, and Heinz College, allowing you to tailor your education to your specific interests. This program is ideal for CMU undergraduates looking to gain advanced expertise in areas such as information networking, security, mobile and IoT engineering, or AI engineering with a focus on security. The INI provides a supportive learning environment with dedicated advising and career services to help you achieve your academic and professional goals.

Master's

Level

€52k

Tuition

24 mo

Duration

Carnegie Mellon University · United States

Automated Science: Biological Experimentation (MSAS)

The Master of Science in Automated Science: Biological Experimentation (MSAS) at Carnegie Mellon University is a specialized program designed for students interested in the intersection of artificial intelligence and laboratory automation. This program prepares you to become a leader in the rapidly evolving field of automated scientific discovery, particularly within biological experimentation. The curriculum uniquely blends cutting-edge AI techniques with practical laboratory automation, equipping you with the skills to design, conduct, and analyze experiments using automated systems. You will delve into concepts like spectroscopic series, crystal field splitting, electron configurations in complexes, and orbital energy diagrams, all within the context of automated biological and chemical processes. Upon graduation, you will be prepared for roles in industry or for advanced doctoral studies, contributing to the development of new scientific methodologies through automation.

Carnegie Mellon University · United States

Bachelor of Computer Science and Arts (BCSA)

The Bachelor of Computer Science and Arts (BCSA) is an intercollege program designed for students who wish to combine rigorous study in computer science with creative work in the fine arts. This program is ideal for those who aim to create the tools and technologies used in artistic expression. It blends academic work from the School of Computer Science (SCS) with creative practice from the College of Fine Arts (CFA). Students will fulfill requirements for general education, a concentration in computer science, and a concentration within one of CFA's schools: Architecture, Art, Design, Drama, or Music. Additional free electives can be used to broaden or deepen study in either the arts or computer science.

Carnegie Mellon University · United States

Dipole Moments

This program explores the experimental determination of molecular dipole moments, a fundamental property influencing how molecules interact with electric fields. You will learn how to measure dipole moments using laboratory experiments based on electrical capacitance. The course covers the theoretical underpinnings, including how capacitance changes when molecules with dipoles are placed between charged plates and how thermal motion affects this alignment. You'll also delve into Peter Debye's clever method for determining dipole moments by analyzing the temperature dependence of measured capacitance, providing a practical application of physical chemistry principles.

Carnegie Mellon University · United States

Doctor of Philosophy (Ph.D.) in Chemical Engineering

The Doctor of Philosophy (Ph.D.) in Chemical Engineering at Carnegie Mellon University (CMU) is a research-intensive program designed to equip students with the skills to become independent researchers and contribute groundbreaking solutions to global challenges in areas like health, sustainability, and energy. Students will delve into captivating research at the intersection of technology and society, completing their degree in approximately four to five years. This program prepares graduates for impactful careers in academia, industry, or government research, fostering an environment of collaboration and cross-disciplinary study. Students will work alongside world-renowned faculty, conducting original research that culminates in a substantive Ph.D. thesis.

Carnegie Mellon University · United States

Doctoral Programs at Carnegie Mellon University

Carnegie Mellon University's School of Computer Science offers a flexible doctoral environment designed to foster interdisciplinary exploration and accommodate diverse student backgrounds. All PhD students in good academic standing receive full financial support, allowing them to focus on research without financial barriers. Upon admission, students are matched with an advisor based on research interests and begin their research projects immediately. Graduates are well-prepared for careers in academia or the technology industry.

Carnegie Mellon University · United States

Duties to Animals

This program at Carnegie Mellon University offers an in-depth exploration of ethical theories concerning human duties towards animals, drawing primarily from Kantian and Regan's philosophical perspectives. Students will critically analyze concepts such as direct vs. indirect duties, the definition of an 'end-in-itself', and the 'subject-of-a-life' framework. The course encourages students to evaluate the moral status of animals and challenges traditional views on animal welfare and rights, providing a foundational understanding of key arguments in animal ethics.

Carnegie Mellon University · United States

Electrical and Computer Engineering PhD

The PhD program in Electrical and Computer Engineering (ECE) is designed to develop students into leading researchers and innovators. The program typically takes four to six years to complete, requiring a minimum of one year of full-time graduate study in residence. Students are expected to demonstrate technical breadth, make consistent progress in research, contribute new knowledge to the field, and effectively disseminate their findings through written and oral presentations. The program emphasizes both coursework and independent research, guided by faculty advisors.

Carnegie Mellon University · United States

Energy Science, Technology, & Policy (ESTP) Master's Degrees

The Energy Science, Technology, & Policy (ESTP) program at Carnegie Mellon University offers intensive, interdisciplinary master's degrees for students interested in the energy sector. These programs combine a core understanding of energy topics with in-depth engineering knowledge and customizable electives. Students will engage in foundational study that prepares them for diverse roles in the rapidly evolving energy landscape. The program aims to equip graduates with the skills to address complex energy challenges through a blend of technical and policy-oriented coursework. There are two distinct degree options: the standard ESTP degree, completed in two semesters, and the ESTP Advanced Study degree, which extends to three semesters for a more customizable and in-depth experience. Both pathways emphasize hands-on applied study and offer opportunities to specialize in areas like AI Engineering within the energy context. The curriculum is designed to be flexible, allowing students to tailor their studies to their specific interests and career goals.

Carnegie Mellon University · United States

Graduate Program in Physics

Carnegie Mellon University's Physics department offers a Ph.D. program designed to train students in advanced research and prepare them for careers in academia or industry. The program focuses on developing strong theoretical and experimental skills, with opportunities to engage in cutting-edge research across various subfields of physics. Students will work closely with faculty mentors, participate in seminars, and contribute to the vibrant research community. The curriculum is rigorous, emphasizing deep understanding of fundamental principles and their application to complex problems. The department is committed to fostering an inclusive environment where students can thrive and achieve their academic and professional goals.

Carnegie Mellon University · United States

Heinz College Master of Arts Management (MAM), MS in Information Security Policy & Management (MSISPM), and MS in Health Care Analytics & Information Technology (MSHCA)

Carnegie Mellon University's Heinz College offers three distinct Master's programs designed for students seeking leadership roles in their respective fields: Master of Arts Management (MAM), Master of Science in Information Security Policy & Management (MSISPM), and Master of Science in Health Care Analytics & Information Technology (MSHCA). These programs are structured to equip students with specialized knowledge and practical skills, preparing them for dynamic careers. The curriculum emphasizes a blend of theoretical understanding and hands-on application, fostering critical thinking and problem-solving abilities relevant to the arts, information security, and healthcare sectors. All programs are full-time and delivered on-campus in Pittsburgh, PA.

Carnegie Mellon University · United States

Human-AI Interaction

This course introduces students to the principles and practices of designing AI systems that are beneficial and useful to people. It explores key topics such as agency, ethics, bias, transparency, trust, and mixed-initiative systems. Students will learn to harness the power of AI to positively impact the human experience. The course emphasizes practical application through projects involving various AI domains like dialog systems, computer vision, recommender systems, and UI personalization. Assignments will primarily involve programming in Python and Javascript, with a focus on individual weekly mini-projects. While prior AI/machine learning experience is helpful, it is not a prerequisite. Students are expected to complete weekly readings and may be asked to present to the class. This course is suitable for both undergraduate and graduate students.

Carnegie Mellon University · United States

M.A. in Applied Linguistics & Second Language Acquisition

The Master of Arts (M.A.) in Applied Linguistics & Second Language Acquisition (ALSLA) is an intensive one-year program designed for both domestic and international students. It prepares you for careers in language education and research, with opportunities to specialize in areas such as language learning research and teaching specific languages including Arabic, Chinese, French, German, Italian, Japanese, Korean, Russian, Spanish, and English as a Second Language (ESL). The program combines traditional coursework in applied linguistics with hands-on experience in research, mentored language teaching, and professional communication strategies. You will take five graduate courses per semester. Full-time and part-time enrollment options are available, with the full-time program typically completed in one academic year and part-time over up to eight semesters. This program leverages the strengths of Carnegie Mellon University's Department of Languages, Cultures & Applied Linguistics, focusing on second language acquisition, language program administration, cultural studies, pedagogy, and technology-enhanced learning. Graduates are well-prepared for roles in higher education, private schools, public secondary schools, and various other settings globally, or for further graduate studies.

Carnegie Mellon University · United States

M.S. AI Engineering in Civil and Environmental Engineering

The Master of Science (M.S.) in AI Engineering in Civil and Environmental Engineering (CEE) at Carnegie Mellon University is a pioneering program designed to equip students with the skills to integrate artificial intelligence into engineering design and domain knowledge. This program is the first of its kind in the nation, providing a unique educational pathway for those looking to apply advanced AI techniques to tackle complex challenges in infrastructure and environmental systems. Students will delve into core areas of AI, including machine learning, deep learning, AI systems, and ethical considerations, while also having the flexibility to explore various CEE focus areas. The curriculum emphasizes practical application, culminating in a capstone project that allows students to apply their learned skills to real-world engineering problems. Graduates will be prepared for high-demand careers at the forefront of AI integration within the CEE sector.

Carnegie Mellon University · United States

M.S. in Automated Science: Biological Experimentation

The Master of Science in Automated Science: Biological Experimentation program at Carnegie Mellon University integrates cutting-edge artificial intelligence with laboratory automation. This program is designed to prepare students to become leaders in the emerging field of automated science, focusing on the automation of biological experiments. Graduates will be well-prepared for careers in industry or further graduate study in competitive Ph.D. programs.

Carnegie Mellon University · United States

M.S. in Automated Science: Biological Experimentation (MSAS)

The Master of Science in Automated Science: Biological Experimentation (MSAS) program at Carnegie Mellon University is designed for students interested in the intersection of artificial intelligence and laboratory automation, specifically within biological research. This program aims to equip the next generation of scientists with the skills to lead in the emerging field of automated science. Students will gain comprehensive training in cutting-edge AI techniques combined with practical laboratory automation, preparing them to innovate and solve complex problems in biological experimentation. The curriculum focuses on advanced biological and data science concepts, including genomics, biological modeling and simulation, and machine learning. Upon graduation, students will be well-prepared for diverse career paths in industry, where they can apply their expertise in automated biological research, or for continued advanced study in competitive PhD programs. The program emphasizes both theoretical knowledge and practical application, ensuring graduates are ready to make significant contributions to the field.

Carnegie Mellon University · United States

M.S. in Computational Biology

The Master of Science in Computational Biology (MSCB) at Carnegie Mellon University is a joint program offered by the Departments of Computational Biology and Biological Sciences. It is designed to provide rigorous graduate-level training at the intersection of biology, computer science, statistics, and machine learning. The program equips students with the analytical skills and biological insights necessary to address complex challenges in areas such as bioinformatics, personalized medicine, genomics, neuroscience, drug design, and environmental health. Graduates are prepared for diverse career paths in biotechnology, pharmaceuticals, government, and academia, or to pursue further doctoral studies.

Carnegie Mellon University · United States

M.S. in Computer Science

Carnegie Mellon University's Master of Science (M.S.) in Computer Science offers advanced study for individuals holding a bachelor's degree. The program is designed for students with strong analytical, mathematical, programming, and logical reasoning skills. While a computer science background is beneficial, it is not strictly required; a technical undergraduate degree provides a solid foundation for success in this program. Students work with an academic advisor to tailor their course of study to their specific interests and career goals. This program is one of several master's options available within the School of Computer Science. Carnegie Mellon also offers a Fifth Year Master's program for current undergraduates and an Accelerated MBA program in conjunction with the Tepper School of Business. Prospective students are encouraged to explore all available master's programs to find the best fit for their academic and professional aspirations.

Carnegie Mellon University · United States

M.S. in Information Security (MSIS)

The Master of Science in Information Security (MSIS) program at Carnegie Mellon University provides advanced education in the critical field of cybersecurity. This program is designed for students seeking to develop deep technical expertise and a strong understanding of the business and management aspects of information security. Students can choose from various study options, including standard, applied, advanced studies, and applied advanced studies, allowing for tailored program lengths and internship opportunities. The curriculum is structured around core courses in systems, networking, and security, supplemented by business and management principles. Students also have the flexibility to select electives from a wide range of departments, including Electrical and Computer Engineering, the School of Computer Science, and Heinz College, enabling them to specialize in areas of interest. The program emphasizes both theoretical knowledge and practical application, preparing graduates for leadership roles in information security.

Carnegie Mellon University · United States

Machine-SUIF Control Flow Analysis Library

The Machine-SUIF Control Flow Analysis (CFA) library is an advanced computing tool designed for analyzing program control flow. It extends the existing control flow graph (CFG) library by offering sophisticated functionalities like dominator analysis and natural-loop analysis. This library is crucial for understanding program structure and optimizing code by identifying key relationships within the control flow. The `DominanceInfo` class allows you to compute dominator sets, construct a dominator tree, and determine dominance frontiers for a given graph, whether processed in forward or reverse directions. Building upon this, the `NaturalLoopInfo` class helps in identifying natural loops, calculating loop depths for each node in the CFG, and pinpointing loop boundaries. This tool is ideal for researchers and students focused on compiler design, program optimization, and static analysis of software.

Carnegie Mellon University · United States

Market Microstructure and Algorithmic Trading

This elective course provides foundational knowledge and explores current issues in financial market trading, with a focus on algorithmic and high-frequency strategies. You will delve into topics such as optimal execution, analysis of execution quality, limit order markets, and the intricacies of market structure. The curriculum covers price decomposition, VWAP benchmarking, and metrics for information asymmetry like PIN and VPIN, alongside the price impact of order flow imbalance. The course examines trading across various markets, including equities, options, futures, and cryptocurrencies. Practical experience is gained through hands-on analysis using Kdb+ and Python with real intraday data in Jupyter notebooks.

Carnegie Mellon University · United States

Master of Arts in Applied Linguistics & Second Language Acquisition (MA-ALSLA)

The Master of Arts in Applied Linguistics & Second Language Acquisition (MA-ALSLA) program is designed to prepare students for teaching opportunities in higher education. While the program primarily targets roles in higher education, graduates may also find opportunities at the secondary level, although formal secondary certification is not provided by this program. The curriculum is structured to be completed over two resident semesters, with a total of ten courses, emphasizing a tightly integrated learning experience.

Carnegie Mellon University · United States

Master of Business Administration (MBA)

The Master of Business Administration (MBA) program at Carnegie Mellon University's Tepper School of Business is designed to accelerate your career and develop your leadership potential. It offers a STEM-designated curriculum, emphasizing creative teamwork and analytical decision-making. Graduates are prepared to lead in complex, uncertain, and technology-driven environments. The Tepper MBA offers multiple formats to suit your needs: a full-time immersive experience on campus or a flexible online hybrid option for working professionals. Both formats provide the same rigorous curriculum, faculty, and support, allowing you to tailor your education with various concentrations and leadership development opportunities. The program focuses on equipping students with the skills to harness emerging technologies and data analysis for effective business strategies.