Carnegie Mellon University, Computer Science 학부 신입학 합격

Carnegie Mellon University, Computer Science 학부 신입학 합격

가장 경쟁이 치열한 Computer Science 분야에서 명실상부 세계 최고 수준의 교육을 제공하고 있는 카네기 멜런 대학교입니다. 카네기 멜런 대학교의 School of Computer Science에서는 아래 5가지 분야의 학사학위를 제공하고 있습니다. SCS에 신입생으로 입학한 모든 학생들은 전공을 확정 짓지 않은 상태에서, 컴퓨터 과학, 인공지능, 계산 생물학 및 인간, 상호작용 등 모든 전문 분야의 핵심 교육과 실질적 응용 역량을 습득할 수 있으며, 전공 분야가 결정된 이후에는 대학원 수준의 전문 연구에 학부생으로 참여할 수 있습니다.

  • Artificial Intelligence
  • Computational Biology
  • Computer Science
  • Human-Computer Interaction HCI
  • Robotics
Tuition 2024-2025 academic year $86,812



Carnegie Mellon University, Computer Science 학부 신입학 합격 오퍼
Carnegie Mellon University, Computer Science 학부 신입학 합격 오퍼


▣ Carnegie Mellon University 학부 신입학 (Undergraduate Freshman)

카네기 멜런 학부 신입학은 Early Decision I, II 와 Regular Deadline으로 나뉩니다. 카네기 멜런 대학교 학부 신입학이 매우 까다로운 심사를 거치는 만큼, ED Round에 지원하는 전략을 세워보는 것도 좋습니다. Early Decision은 구속력을 갖지만, 데드라인을 두 라운드로 나눠 모집해, 학생들에게 선택지를 제공하고 있습니다.

Early Decision I November 1 Decision December 15
Regular Decision &Early Decision II January 3 Decision April 1


▣ 카네기 멜런 학부 신입학 요구 조건

고등학교 4년간의 학생의 학업 역량에 매우 높은 점수를 두고 심사를 합니다. 학생의 진로와 적성에 맞춰 도전적인 과목 선택을 하고 단계별로 향상되어 온 과목별 성적을 중점적으로 고려합니다. 영어, 수학, 사회과학, 자연과학, 외국어 영역의 기본 커리큘럼이 균형 잡혀 있는 것이 매우 중요합니다.

  • Common Application: 공통 지원 시스템
  • 고등학교 내신성적
  • Official SAT or ACT score (Optional)
  • Common Application Essay and Writing Supplement
  • English Proficiency Test
  • Letter of Recommendation from a teacher and counselor


▣ Carnegie Mellon Computer Science 학부 과정 기본 커리큘럼

  • Computer Science Program
  • Curriculum – B.S. in Computer Science
  • The following requirements are for students entering Fall 2023



Computer Science Core (all of the following) Units
07-128 First Year Immigration Course 3
15-122 Principles of Imperative Computation
(students without credit or a waiver for 15-112, Fundamentals of Programming and Computer Science, must take 15-112 before 15-122)
15-150 Principles of Functional Programming 12
15-210 Parallel and Sequential Data Structures and Algorithms 12
15-213 Introduction to Computer Systems 12
15-251 Great Ideas in Theoretical Computer Science 12
15-451 Algorithm Design and Analysis 12
One Artificial Intelligence elective (min. 9 units). Students will be able to tackle complex, real-world problems using techniques from Artificial Intelligence, including symbolic and probabilistic reasoning, machine learning, optimization, and perception.
10-315 Introduction to Machine Learning (SCS Majors) 12
11-411 Natural Language Processing 12
11-485 Introduction to Deep Learning 9
15-281 Artificial Intelligence: Representation and Problem Solving 12
15-386 Neural Computation 9
16-384 Robot Kinematics and Dynamics 12
16-385 Computer Vision 12
others as designated by the CS Undergraduate Program
One Domains elective (min. 9 units). Students will gain expertise in fundamental principles from a larger domain of computer science not already represented by other constrained categories, currently logic and languages, systems, and artificial intelligence (which includes machine learning, language technologies, and robotics).
02-251 Great Ideas in Computational Biology 12
05-391 Designing Human Centered Software 12
11-324 Human Language for Artificial Intelligence 12
15-322 Introduction to Computer Music 9
15-330 Introduction to Computer Security 12
15-455 Undergraduate Complexity Theory 9
15-462 Computer Graphics 12
17-313 Foundations of Software Engineering 12
others as designated by the CS Undergraduate Program
One Logics/Languages elective (min. 9 units). Students will master techniques for rigorous, formal reasoning about programs or systems, rooted in their logical foundations.
15-312 Foundations of Programming Languages 12
15-314 Programming Language Semantics 12
15-316 Software Foundations of Security and Privacy 9
15-317 Constructive Logic 9
15-414 Bug Catching: Automated Program Verification 9
15-424 Logical Foundations of Cyber-Physical Systems 12
17-355 Program Analysis 12
17-363 Programming Language Pragmatics 12
80-413 Category Theory 9
others as designated by the CS Undergraduate Program
One Software Systems elective (min. 12 units).
15-410 Operating System Design and Implementation 15
15-411 Compiler Design 15
15-418 Parallel Computer Architecture and Programming 12
15-440 Distributed Systems 12
15-441 Networking and the Internet 12
15-445 Database Systems 12
others as designated by the CS Undergraduate Program
Two Computer Science electives: Units
These electives can be from any SCS department 18




15-151 Mathematical Foundations for Computer Science
(if not offered, substitute 21-127 or 21-128)
21-120 Differential and Integral Calculus 10
21-122 Integration and Approximation 10
21-241 Matrices and Linear Transformations 11
or 21-242 Matrix Theory
21-259 Calculus in Three Dimensions 10
or 21-266 Vector Calculus for Computer Scientists
or 21-268 Multidimensional Calculus
or 21-269 Vector Analysis
Plus one of the following four Probability choices:
15-259 Probability and Computing 12
21-325 Probability 9
36-218 Probability Theory for Computer Scientists 9
36-225-36-226 Introduction to Probability Theory – Introduction to Statistical Inference
(must take both courses in this sequence to satisfy requirement)