Last Updated on July 30, 2023
A master’s degree is typically a student’s first postgraduate degree. A Master of Science represents greater knowledge than a bachelor’s but generally requires less study than a doctorate or equivalent.
What is an MSc in Artificial Intelligence? Computer science is attempting to replicate human-level thought processes through the creation of artificial intelligence. This multidisciplinary branch of science attempts to use programming, mechanical apparatuses, and sensory proxies to perform tasks previously only achievable by people. Autonomous vehicles, criminal behavior prediction, and video game design are just a few of the applications of artificial intelligence. Depending on your program, your degree may include a specialization in such topics as autonomous system design, multi-agent systems, machine learning, and cognitive robotics.
Read to learn more about masters in artificial intelligence requirements, masters in artificial intelligence salary, masters in artificial intelligence australia, masters in artificial intelligence online, masters in artificial intelligence germany, masters in artificial intelligence in uk, masters in artificial intelligence europe, msc artificial intelligence cambridge
MS In Computer Science With Specialization In Artificial Intelligence
Learning to work with machine behavior may help you to better understand human behavior. This can improve your interpersonal skills immensely. Depending on your program, you may also learn advanced computer programming and robotic design.
Because of the many factors involved, you need to do individual research to get the exact cost for a Master in Artificial Intelligence. Whether you choose to study abroad, online, or part-time can have a significant effect on your financial considerations.
After graduation, you will generally be able to find a career directly related to artificial intelligence. The private, public, and non-profit sectors all need experienced designers in this field. Industries including healthcare, finance, and entertainment currently use software analysts to improve their operations. The government is interested in employing algorithm specialists in everything from military strategy to urban planning. Non-profit organizations can benefit from using program designers to collect and analyze data related to their purposes.
As a growing field of research, you can generally find artificial intelligence programs at universities around the world. Convenient options such as part-time study or online classes you can take at home are also sometimes available. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
Master of Science in Software Engineering Systems
The Master of Science in Software Engineering Systems takes a sociotechnical engineering approach to software. This engineering foundation is designed to enable master’s students to embrace real-world complexity as a golden opportunity, especially for the more technically advanced student. The program educates students to be intuitive problem solvers, experienced engineering architects, and result-focused leaders who will have a great impact at the exciting three-way intersection of computer science, engineering, and ethics.
The program covers data management, business intelligence, column databases, data science, and big-data engineering.
Top Computer Science Specializations for MS and How to Choose the Right One
Are you undecided about specialization to choose during your MS Computer Science program abroad, one that is both dynamic and lucrative? Look no further! In this post, we will look at the top computer science specializations to study at the Masters (MS) level abroad and how to choose the right specialization.
Top MS Computer Science Specialization
Computer Science includes a wide range of occupations, job titles, and responsibilities. Whether you belong to Science, Technology, Engineering, or Mathematics background, CS can lead you to your dream career. With its application in almost every field, CS gives you the maximum options to land a job in any industry. As per the White House, by 2020, there would be around 1.4 million CS-related jobs for Computer Science majors.
Top Computer Science Specializations for MS Abroad
An MS degree is designed to make an expert out of you, concentrated in a specific area – a specialty. When you are opting for MS abroad, the choice of specialization needs to be a well-informed one.
There are around 20 specializations in computer science – AI, ML, Cognitive Science, Computer Graphics, Data Processing, Information Technology, Software Engineering, Theoretical Computer Science, Bioinformatics, and more. The availability of CS specializations also varies from university to university. Here are the best trending computer science specializations.
Artificial Intelligence (AI)
Artificial intelligence (AI) is the most sought after specialization in Computer Science today because it enables computers to perform human tasks such as visual perception, voice recognition, cognitive decision making, pattern recognition et al. From autonomous self-driving vehicles to home and industrial automation; from intelligent control systems to cutting-edge medical equipment; from advanced game development to complex language processing, its scope is so vast that there are career opportunities for anyone and everyone.
Machine Learning (ML)
Machine Learning enables a group of trained algorithms to make predictions based on pattern recognition from a given dataset, which can be used for making informed decisions in any sphere, be it business, political, social, economic or healthcare. The role of a Machine Learning Engineer is suitable for those who hail from a background in applied research and data science.
Data Science
Every business or organization requires Data Scientists to give them insights from data that can maximize their profits and streamline their processes. Data Science is relevant to virtually all industries that matter right now; so, proficient and knowledgeable Data Science Master’s degree graduates will be invaluable assets to employers in any industry they want to work in. Talented Data Scientists are needed in finance, healthcare, technology, and every other industry. According to an IBM report, Data Science jobs would reach the estimated figure of 2,720,000 in 2020.
Software Engineering
Software engineers analyze and solve problems by applying their skills in computer applications, computer systems, or systems development and are responsible for designing, maintaining, and evaluating software products/programs. Be it social networking, digital conferencing, digital collaboration, digital workspace, simple office tools, or creating a complex software system for embedded products, there is always the need for skilled Software Engineers.
Human Computer Interaction (HCI)
HCI is the study of how people use complex technological artifacts that now pervade their lives. The HCI industry includes a) researchers from psychological and computer science backgrounds interested in evaluating their theories of human or system behavior, b) designers and engineers from industrial and commercial backgrounds who aspire to build faster and more economical products. HCI graduates being proficient in user experience and design will find opportunities in different sectors like manufacturing, finance, information technology, healthcare, and government.
Cybersecurity
Cybersecurity is becoming more and more popular as more and more businesses store sensitive data online, apart from carrying out transactions in the digital domain. Starting from e-commerce, m-commerce, banking & financial services to aerospace, defense, government institutions, telecommunications, etc., every single sector having a digital footprint requires a Cybersecurity professional to protect its systems and vital user-related data from cyber-attacks.
Cloud Computing
As large to medium businesses resort to storing vast quantities of data on internet warehouses, managed by big servers, commonly known as ‘Cloud’, the need to store, manage and use that data requires special skills, which is possessed by ‘Cloud Computing’ experts. Cloud Computing supports a vast number of services; that include consumer services like Gmail or the cloud back-up of the photos on your smartphone, to the services which allow large enterprises to host all their data and run all their applications in the cloud. The need for Cloud Computing experts is now universal, as more and more businesses as well as retail users use the internet to store and access data on the go.
Information Systems
If you are not too much into coding but would like to stay in the technology sector, this could be an ideal specialization for you. This computer science specialization covers computer sciences and its business applications. Mainly, it places emphasis on the correlation and interaction between both components.
Key aspects are are the understanding and the design of vertical information processes, data structures, applications, and systems that meet business demands.
Digital/Interactive Media
Quite often, a few students end up in undergraduate computer science programs due to a craze. Later, they realize that they don’t like to stay in the technical domain and look for a transition.
If you want to get into the creative side and want to leverage your technical knowledge and CS degree, you can opt for Digital Media, Interactive Media, or related specializations.
The application areas covered by this specialization include computer games, educational software, mobile devices, marketing and advertising, and location based services.
The digital media industry is rapidly expanding and now forms an important part of the information technology industry, and this specialization is a response to the needs of this important industry sector.
How to Choose the Right Computer Science Specialization for MS
To choose the right specialization in Computer Science:
Find out your areas of interest/passion
Align your interests with your positives like technical background, academic projects, internship, work experience
Figure out your career goals, both short-term and long-term
Find out the career prospects of your chosen area, via research and networking
If you are seeking a broad perspective/knowledge of computer science, then a general MS in CS is suitable; if you wish to specialize in a field, then your prospects could improve.
Book a session with us so that we could guide you in the right direction!
Tips for Choosing the Right Computer Science Specialization
If you love coding, software programming is a great option for you as a fresher. If you have some work experience along with business acumen, you can opt for data science or data analytics.
Apart from solid coding, if you have exceptional command over math and love statistics, you could consider AI or ML.
If you like to analyze data, detect patterns, and gain insights that lead to more informed business decisions, you can choose anyone among artificial intelligence, data science, data analysis, or computer theory. Note that these roles also require presenting the outcome of data analysis to key stakeholders in clear language.
If you have an eye for visual design and pay attention to detail, then consider a role as a programmer, game designer, computer graphics designer, or UX designer. These roles also require creativity and flexibility for meeting the requirements of internal and external stakeholders.
If you have a background in technical training and back-end operations, consider a role as an engineer, system administrator, or network administrator.
If you have the technical expertise as well as an ability to negotiate diplomatically, consider a role in information security. Another possible role is a DevOps—shorthand for “developer operations”—engineer, a role that helps organizations bridge the gap between speed and stability in the development lifecycle.
msc artificial intelligence cambridge
Georgia college of Tech computing
M.S. Computer Science – Specializations
Georgia Tech’s innovative MS CS degree program allows students to specialize their degree, to fit their academic and professional goals. Explore the 11 specializations listed below to discover the possibilities of a Master’s of Science in Computer Science at the Georgia Tech College of Computing.
| Specialization in Computational Perception and Robotics | |
| Core Courses(6 hours) | Algorithms: Pick one (1) of:CS 6505 Computability, Algorithms, and ComplexityCS 6515 Introduction to Graduate Algorithms CS 6520 Computational Complexity TheoryCS 6550 Design and Analysis of AlgorithmsCS 7520 Approximation AlgorithmsCS 7530 Randomized AlgorithmsCSE 6140 Computational Science and Engineering AlgorithmsAnd pick one of:CS 6601 Artificial IntelligenceCS 7641 Machine Learning |
| Electives(9 hours) | Pick three (3) courses from Perception and Robotics, with at least one course from each.PerceptionCS 6475 Computational PhotographyCS 6476 Computer VisionCS 7499 3D ReconstructionCS 7636 Computational PerceptionCS 7639 Cyber Physical Design and AnalysisCS 7644 Machine Learning for RoboticsCS 7650 Natural LanguageCS 8803 Special Topics: Multiview Geometry in Computer VisionRoboticsCS 7630 Autonomous RoboticsCS 7631 Autonomous Multi-Robot SystemsCS 7633 Human-Robot InteractionCS 7638 Artificial Intelligence Techniques for RoboticsCS 7648 Interactive Robot LearningCS 7649 Robot Intelligence: Planning |
| Specialization in Computer Graphics | |
| Core Courses(6 hours) | CS 6491 Foundations of Computer Graphics andCS 6505 Computability, Algorithms, and ComplexityorCS 6515 Introduction to Graduate Algorithms |
| Electives(9 hours) | Pick three (3) from:CS 6457 Video Game Design and ProgrammingCS 6475 Computational PhotographyCS 6476 Computer VisionCS 6485 Visualization Methods for Science and EngineeringCS 6497 Computational AestheticsCS 6764 Geometric ModelingCS 7490 Advanced Image SynthesisCS 7491 3D Complexity Techniques for Graphics, Modeling, and AnimationCS 7492 Simulation of BiologyCS 7496 Computer AnimationCS 7497 Virtual Environments |
| Specialization in Computing Systems | |
| Core Courses(9 hours) | CS 6505 Computability, Algorithms, and ComplexityorCS 6515 Introduction to Graduate AlgorithmsAnd, pick two (2) of:CS 6210 Advanced Operating SystemsCS 6241 Compiler DesignCS 6250 Computer NetworksCS 6290 High-Performance Computer ArchitectureCS 6300 Software Development Process OR CS 6301 Advanced Topics in Software EngineeringCS 6390 Programming LanguagesCS 6400 Database Systems Concepts and DesignsAny Core Courses in excess of the 9 hour requirement may be used as Computing Systems Electives |
| Electives(9 hours) | Pick three (3) courses from:CS 6035 Introduction to Information SecurityCS 6200 Graduate Introduction to Operating SystemsCS 6220 Big Data Systems and AnalyticsCS 6235 Real Time SystemsCS 6238 Secure Computer SystemsCS 6260 Applied CryptographyCS 6262 Network SecurityCS 6263 Intro to Cyber Physical Systems SecurityCS 6291 Embedded Software OptimizationCS 6310 Software Architecture and DesignCS 6340 Software Analysis and TestingCS 6365 Introduction to Enterprise ComputingCS 6422 Database System ImplementationCS 6550 Design and Analysis of AlgorithmsCS 6675 Advanced Internet Computing Systems and ApplicationsCS 7210 Distributed ComputingCS 7260 Internetworking Architectures and ProtocolsCS 7270 Networked Applications and ServicesCS 7280 Network ScienceCS 7290 Advanced Topics in MicroarchitectureCS 7292 Reliability and Security in Computer ArchitectureCS 7560 Theory of CryptographyCS 8803 FPL Special Topics: Foundations of Programming LanguagesCSE 6220 High Performance ComputingAny Special Topics (CS 8803) course that is being taught by a School of Computer Science faculty member may also count as a Computing Systems elective. The definition of “School of Computer Science faculty member” is a faculty member who appears on the School of Computer Science website: https://scs.gatech.edu/people/faculty |
masters in artificial intelligence requirements
Artificial Intelligence degree requirements
- Minimum English language test scores: IELTS – 6.5 or TOEFL – 90.
- Bachelor’s degree in Computer Science or other related fields.
- GRE or GMAT test.
- Academic transcripts.
- Motivation letter.
| Specialization in Human Centered ComputingThis specialization is only available to students enrolled in the Human Centered Computing PhD program. | |
| Core Courses(9 hours) | CS 6451 Intro to HCCANDCS 6452 Prototyping Interactive SystemsANDCS 7455 Issues in HCC |
| Electives(6 hours) | Pick two (2) from:CS 6455 User Interface Design and EvaluationCS 6456 User Interface SoftwareCS 6460 Educational Technology: Conceptual FoundationsCS 6465 Computational JournalismCS 6470 Design of Online CommunitiesCS 6474 Social ComputingCS 6476 Computer VisionCS 6601 Artificial IntelligenceCS 6750 Human-Computer InteractionCS 6795 Introduction to Cognitive ScienceCS 7450 Information VisualizationCS 7460 Collaborative ComputingCS 7461 Machine LearningCS 7470 Mobile and Ubiquitous ComputingCS 7476 Advanced Computer VisionCS 7610 Modeling and DesignCS 7637 Knowledge-Based AICS 7620 Case-based ReasoningCS 7650 Natural LanguageCS 7695 Philosophy of CognitionCS 7697 Cognitive Models of Science and TechnologyCS 7790 Cognitive ModelingCS 8803 Computational CreativityCS 8803 Expressive AICS 8803 Game AICS 8803 Human Robot InteractionCS 8803 Computers, Communications & International DevelopmentCS 8803 Computational Social Science |
| Specialization in High Performance Computing | |
| Core Courses(6 hours) | CSE 6140 Computational Science and Engineering AlgorithmsCSE 6220 High Performance Computing |
| Electives(9 hours) | Pick three (3) from:CSE 6221 Multicore Computing: Concurrency and Parallelism on the DesktopCS/CSE 6230 High-Performance Parallel Computing: Tools and ApplicationsCS 6241 Compiler DesignCS 6290 High-Performance Computer ArchitectureCS/CSE 8803 Special Topics: Parallel Numerical AlgorithmsCSE 6236 Parallel and Distributed SimulationCSE 8803 Special Topics: Hot Topics in Parallel Computing |
| Specialization in Human-Computer Interaction | |
| Core Courses(6 hours) | CS 6456 Principles of User Interface SoftwareCS 6750 Human-Computer Interaction |
| Electives(9 hours) | Pick three (3) courses from the two sub-areas below, including at least one from each sub-area:Sub-area: Design and evaluation conceptsCS 6010 Principles of DesignCS 6320 Software Requirements Analysis and SpecificationCS 6455 User Interface Design and EvaluationCS 6460 Educational Technology: Conceptual FoundationsCS 6465 Computational JournalismCS 6470 Design of Online CommunitiesCS 6795 Introduction to Cognitive ScienceCS 7465 Educational Technology: Design and EvaluationCS 7467 Computer-Supported Collaborative LearningCS 7790 Cognitive ModelingSub-area: Interactive technologyCS 6763 Design of Design EnvironmentsCS 6770 Mixed Reality Experience DesignCS 7450 Information VisualizationCS 7460 Collaborative ComputingCS 7470 Mobile and Ubiquitous Computing |
| Specialization in Interactive Intelligence[Prerequisite: An undergraduate or above algorithms/computational thinking course.] | |
| Core Courses(9 hours) | Take one (1) course from:Algorithms and DesignCS 6300 Software Development ProcessCS 6301 Advanced Topics in Software EngineeringCS 6505 Computability, Algorithms, and ComplexityCS 6515 Introduction to Graduate AlgorithmsAnd, two (2) courses from:CS 6601 Artificial IntelligenceCS 7620 Case-Based ReasoningCS 7637 Knowledge-Based AICS 7641 Machine Learning |
| Electives(6 hours) | Pick two (2) courses from:InteractionCS 6440 Introduction to Health InformaticsCS 6460 Educational Technology: Conceptual FoundationsCS 6465 Computational JournalismCS 6471 Computational Social ScienceCS 6750 Human-Computer Interaction CS 7632 Game AICS 7634 AI Storytelling in Virtual WorldsCS 7650 Natural LanguageCS 8803 Special Topics: Advanced Game AICognitionCS 6795 Introduction to Cognitive ScienceCS 7610 Modeling and DesignCS 8803 Special Topics: Computational Creativity |
| Specialization in Machine Learning | |
| Core Courses(6 hours) | Algorithms: Pick one (1) of:CS 6505 Computability, Algorithms, and ComplexityCS 6515 Introduction to Graduate AlgorithmsCS 6520 Computational Complexity TheoryCS 6550 Design and Analysis of AlgorithmsCS 7510 Graph AlgorithmsCS 7520 Approximation AlgorithmsCS 7530 Randomized AlgorithmsCSE 6140 Computational Science and Engineering AlgorithmsAnd, pick one (1) of:CS 7641 Machine LearningCSE 6740 Computational Data Analysis: Learning, Mining, and Computation |
| Electives(9 hours) | Elective ML courses must have at least 1/3 of their graded content based on Machine Learning.Pick three (3) of:CS 6220 Big Data Systems & AnalysisCS 6476 Computer Vision CS 7535 Markov Chain Monte CarloCS 7540 Spectral AlgorithmsCS 7545 Machine Learning TheoryCS 7616 Pattern RecognitionCS 7626 Behavioral Imaging CS 7642 Reinforcement Learning and Decision MakingCS 7643 Deep Learning CS 7644 Machine Learning for RoboticsCS 7646 Machine Learning for TradingCS 7650 Natural LanguageCS 8803 Special Topics: Probabilistic Graph ModelsCSE 6240 Web Search and Text MiningCSE 6242 Data and Visual AnalyticsCSE 6250 Big Data for HealthISYE 6416 Computational StatisticsISYE 6420 Bayesian MethodsISYE 6664 Stochastic OptimizationApproved Substitutions |
| Specialization in Modeling and Simulations | |
| Core Courses(6 hours) | CSE 6730 Modeling and Simulation: Foundations and ImplementationAnd pick one (1) ofCSE 6220 High Performance ComputingISYE 6644 SimulationMATH 6640 Introduction to Numerical Methods for Partial Differential Equations |
| Electives(9 hours) | Pick three (3) of:CSE 6220 High Performance Computing CSE 6236 Parallel and Distributed SimulationCSE/CHEM 8803 Special Topics: Quantum Information, Computation, and SimulationINTA 6742 Modeling, Simulation and Military GamingISYE 6644 SimulationMATH 6640 Introduction to Numerical Methods for Partial Differential Equations |
| Specialization in Scientific Computing | |
| Core Courses(6 hours) | CSE/MATH 6643 Numerical Linear AlgebraPick one (1) of:CSE/MATH 6644 Iterative Methods for Systems of EquationsMATH 6640 Introduction to Numerical Methods for Partial Differential Equations |
| Electives(9 hours) | Pick three (3) of:CS/CSE 6230 High-Performance Parallel Computing: Tools and ApplicationsCS/CSE 8803 Special Topics: Parallel Numerical AlgorithmsCSE 6140 Computational Science and Engineering AlgorithmsCSE 6220 High Performance ComputingCSE/MATH 6644 Iterative Methods for Systems of EquationsCSE 8803 Special Topics: Algorithms for Medical Imaging and Inverse ProblemsCSE 8803/CHEM 6485 Computational ChemistryMATH 6640 Introduction to Numerical Methods for Partial Differential Equations |
| Specialization in Social Computing | |
| Core Courses(6 hours) | Pick one (1) of:CS 6470 Design of Online CommunitiesCS 6474 Social ComputingPick one (1) of:CS 6465 Computational JournalismCS 6471 Computational Social ScienceCS 7460 Collaborative Computing |
| Electives(9 hours) | Pick three (3) more classes including additional classes from the above and:CS 6238 Secure Computer SystemsCS 6250 Computer NetworksCS 6456 Principles of User Interface SoftwareCS 6505 Computability, Algorithms, and ComplexityCS 6515 Introduction to Graduate Algorithms CS 6675 Advanced Internet Computing Systems and ApplicationsCS 6750 Human-Computer InteractionCS 7210 Distributed ComputingCS 7270 Networked Applications and ServicesCS 7450 Information VisualizationCS 7467 Computer-Supported Collaborative LearningCS 7650 Natural LanguageCS 8893 Special Topics in Cognitive Science: Cognition and Culture |
| Specialization in Visual Analytics | |
| Core Courses(6 hours) | CS 7450 Information VisualizationANDCSE 6740 Computational Data AnalysisORCSE 6242 Data and Visual Analytics |
| Electives(9 hours) | Pick three from:CS 6456 Principles of User Interface SoftwareCS 6465 Computational JournalismCS 6485 Visualization Methods in Science and EngineeringCS 6490 Computer GraphicsCS 6750 Human-Computer InteractionCS 6795 Introduction to Cognitive ScienceCSE 6242 Data and Visual AnalyticsCS 8803 VDS Visual Data Analytics |
Universities Offering Masters Degrees in Computer Science with specialization in Artificial Intelligence
What is Artificial Intelligence?
Most of you are already aware of the term Artificial Intelligence or AI. However, for those who are new to this field, let’s shed some light on it. Artificial Intelligence deals with machines and computer systems that can perform tasks similar to a human. AI machines are designed to be able to recognize a voice, visualize, learn and plan. Some are designed to understand the human language, make decisions and many more. We can even say that the AI is basically an artificial human. A great example of this can be the fact that robots have already replaced some of the workforces in hostile industries.
Benefits of Pursuing the Masters in Computer Science Artificial Intelligence
There are a lot of advantages to pursuing masters in computer science with a specialization in artificial intelligence. Here are just some of the considerable advantages:
Scope: The technological world is developing at the rate beyond our expectations. Tech giants (e.g., Apple and Microsoft) are focusing on their research and development department more than any other department to provide the world with the latest technology. Pursuing AI allows graduates to get the opportunity to work for the best companies in the world while using and improving their skills.
Competition: There will fewer roadblocks to getting a job after receiving your degree. Although AI’s importance has increased nowadays, there is only a small number of students who choose to go into this field. If you are an expert in the field, you won’t be only facing less competition you’ll also have great offers.
Remuneration: Besides being successful in the field, your bank account will also thank you. Successful projects allow both students and working professionals to receive sponsorships which can also give you worldwide recognition.
Status: Those who become experts in the field will not only provide money but also a status. People who are experts in the AI field are known to possess special abilities and high IQ levels. This is why if you study AI, you’ll be considered among the experts after completing your masters and Ph.D. degrees.
List of Colleges
We have compiled a list of the 10 best colleges offering AI courses, researches, and projects under their respective master’s program in computer science. If you want to pursue a specialization in AI during your master’s tenure, consider the below-mentioned colleges for admission:
| Rice University | |
| Studying Computer Science majoring in Artificial Intelligence allows students to partake in technological advances. The university creates student research groups to focus on the development of new methodologies while using the existing ones. The AI course is integrated with Algorithms that allows students to use data analysis to convert them into computational work and actionable knowledge. |
| University of Connecticut | |
| The CS department of the University of Connecticut offers AI with a Master of Science or Master of Engineering degree. The program develops students who are looking into research-based positions for Artificial Intelligence. While the scope of AI is huge, UConn provides its students to be able to dive into many subareas of the field. This includes reasoning, machine learning, natural language processing, knowledge representation and many more. UConn’s AI course allows collaboration with colleagues and faculty members to develop their own AI to learn what they have studied first-hand. |
| Brown Graduate School | |
| The Computer Science department of Brown Graduate School offers a great learning environment for research and studies in AI. Studying at the university will provide students with both theoretical and empirical studies knowledge. This knowledge will be used to learn more in-depth different areas of in AI including machine perception, natural language interpretation, face and gesture recognition, and many more. |
| University of Michigan-Ann Arbor | |
| The University of Michigan-Ann Arbor is ranked number 29 on the National University list. Their AI program enhances the student’s abilities by allowing them to work with a multidisciplinary group of researches. Not only will students be able to conduct theoretical and experimental investigations of intelligent systems, they will also be able to apply what they’ve learned. Students can expect to learn more than just artificial intelligence with University of Michigan’s program. They can expect to build knowledge in computer science, psychology, statistics, philosophy, and many more. |
| Cornell NYC Tech | |
| Cornell Tech’s AI program has been around since the early 90s. It shows that the university’s computer science program has not only evolved but has also helped the world to develop through its leading AI knowledge. Although the school only accepts a small group, the size makes up for a greater collaborative and cooperative environment for students to flourish. With a number of journal articles published, Cornell University is a home to researchers that have the vision in improving artificial intelligence research. |
| Duke Graduate School | |
| Duke University’s Computer Science program with a specialization in Artificial Intelligence offers students a unique opportunity to collaborate with academic research and industry partners in computing and engineering technologies. Students will be able to tackle real-world issues and challenges of technology while producing research to provide valuable information. By building a foundation by learning current technologies and applications in the field, students will be able to learn to start from the basics to areas of concentration. |
| Standford University | |
| With a whole laboratory dedicated to Artificial Intelligence, Stanford University gives students an environment for learning through theory, teaching, practice, and research. The faculty members in the program specialize in many areas of Artificial Intelligence like robotics, machine learning, autonomous driving, computer vision and many more. Students will learn several of these specializations to deepen their knowledge in AI. |
| University of Notre Dame Graduate School | |
| The University of Notre Dame offers courses in Artificial Intelligence to complement their Computer Science program. Graduate students at this university can expect to learn computer vision and data mining along with Artificial Intelligence. The Department of Computer Science and Engineering offers students a chance to work with faculty members and research groups who are experts in computer vision, artificial intelligence, grid computing, and many other areas of specialization. |
| Brandeis University | |
| While Artificial Intelligence is considered to be an elective in Brandeis University ’s Computer Science program, it still offers a wide range of knowledge. Students who decide to pursue in the AI field will learn about cognitive science, intelligent behavior, computational linguistics, machine learning, and bioinformatics. The faculty members teaching the classes are all leaders in the field. |
| University of Wisconsin-Madison | |
| The University of Wisconsin-Madison offers Artificial Intelligence courses wherein students will learn in-depth search techniques. Students will be learning more on automation deduction with knowledge-based representation on machine learning, probabilistic reasoning, and predicate logic. There will also be application-based tasks such as problem-solving, speech recognition, and robotics. |
masters in artificial intelligence salary
According to PayScale, the average salary for individuals who hold a Master’s in Artificial Intelligence and Machine Learning is $102,000 per year, while the average salary for individuals who hold a Bachelor’s in Computer Science is $89,953 per year.
