德州奥斯汀分校（Austin）计算机科学专业申请攻略（硕士 ）
德州奥斯汀分校 MSc Computer Science 开设在计算机系下，共需修读30个学分，按是否需要毕业论文划分为带毕业论文和不带毕业论文两种。
有以下专业方向：
人工智能(Artificial Intelligence)
生物信息与计算生物学(Bioinformatics and Computational Biology)
计算机架构(Computer Architecture)
数据挖掘、机器学习与自然计算(Data Mining， Machine Learning， and Natural Computation)
形式化方法(Formal Methods)
图形与可视化(Graphics and Visualization)
模型驱动工程(Model Driven Engineering)
操作系统、分布式系统与网络(Operating systems， Distributed systems， and Networking)
编程语言与实现(Programming Languages and Implementation)
科学计算(Scientific Computing)
计算机安全(Security)
理论计算机科学(Theoretical Computer Science)
Take at least one Diversity course from each of the three areas.:
Theory
CS 388C Combinatorics & Graph Theory
CS 388G Algorithms: Techniques & Theory
CS 388H Cryptography
CS 388L Introduction to Mathematical Logic
CS 388M* Communication Complexity
CS 388P* Parallel Algorithms
CS 388R* Randomized Algorithms
CS 388S Formal Semantics & Verification
CS 388T Theory of Computation (Required prerequisite: undergraduate Theory of Computation or a similar complexity theory course)
CS 389L* Automated Logical Reasoning
CS 389R Recursion & Induction I
CS 395T Sublinear Algorithms (beginning Fall 2020)
CS 395T Approximation Algorithms and Complexity (beginning Fall 2021)
Systems
CS 380C Compilers
CS 380D Distributed Computing I
CS 380J* Operating Systems Implementation
CS 380L Advanced Operating Systems
CS 380N Systems Modeling
CS 380P* Parallel Systems
CS 380S* Theory and Practice of Secure Systems
CS 382M Advanced Computer Architecture
CS 386C Dependable Computing Systems
CS 386L Programming Languages
CS 386M Communication Networks
CS 386S Network Protocol Security
CS 386W* Wireless Networking
CS 396M Advanced Networking Protocols
Applications
CS 381K Artificial Intelligence
CS 381V* Visual Recognition
CS 383C Numerical Analysis: Linear Algebra
CS 383D Numerical Analysis: Interpolation, Approximation, Quadrature, and Differential Equations
CS 384G Computer Graphics
CS 384P* Physical Simulation
CS 384R* Geometric Modeling & Visualization
CS 386D Database Systems (This course takes the place of courses CS 386 and CS 387H which will no longer be taught. Students who have taken these courses may still apply them toward their degree; however they cannot also get credit for CS 386D).
CS 388* Natural Language Processing
CS 391D* Data Mining: A Mathematical Perspective
CS 391L Machine Learning
CS 391R* Robot Learning
CS 392F* Automated Software Design (formerly Feature Oriented Programming)
CS 393C* Agent-Based Electronic Commerce
CS 393R* Autonomous Robots
CS 393P/395T Program Synthesis (beginning Spring 2021)
CS 394C Algorithms for Computational Biology (Originally named Computational Biology)
CS 394F Knowledge Representation & Reasoning
CS 394N Neural Networks
CS 394P Automatic Programming
CS 394R* Reinforcement Learning: Theory and Practice
Official Transcripts and Degree Conferral (Proof of Degree)
English Language Proficiency Testing(IELTS 6.5 or TOEFL 79)
Letters of Recommendation
GRE/GMAT
Financial Documentation
Résumé
Statement of Purpose/Personal Statement
Application deadline:
December 15
该专业毕业后就业领域广泛，,覆盖金融业、传媒业，建筑业，教育业几乎所有领域，具体的职业包括计算机工程师，软件，硬件工程师，软件开发，信息系统管理，网站设计，网站管理等。