bsc artificial intelligence online

Last Updated on September 5, 2022 by Smile Ese

Artificial intelligence is one of the hottest fields in computing. Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI research is highly technical and specialized, but it also has many practical applications in many different areas of science and industry. This guide helps you know more about Bsc Artificial Intelligence Online, online bachelor machine learning, csu global artificial intelligence, artificial intelligence applications in distance education and which degree is best for artificial intelligence.

One of the challenges in computing is to make computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. Current achievements include image and voice recognition, and NASA’s Mars Rovers. By combining the study of artificial intelligence and traditional computing techniques with an understanding from psychology of how humans learn, these degree programmes prepare you for a career applying computing in challenging applications. Read on for the full scoop on Bsc Artificial Intelligence Online, online bachelor machine learning, csu global artificial intelligence, artificial intelligence applications in distance education and which degree is best for artificial intelligence.

Artificial intelligence related topics covered include techniques for representing and reasoning about knowledge, including approaches in machine learning in which general patterns are learned from examples. These programmes give you the opportunity to study these techniques, and their application in areas such as computer vision, games, etc.

Bsc Artificial Intelligence Online

We begin with Bsc Artificial Intelligence Online, then online bachelor machine learning, csu global artificial intelligence, artificial intelligence applications in distance education and which degree is best for artificial intelligence.

In many countries, including the United States, South Africa and Japan, bachelor’s degrees are differentiated either as Baccalaureate (Bachelor) or Baccalaureus (Baccalaureate). In other countries this is referred to as a Bachelor’s degree or as First Bachelor’s degree.

A Bachelor of Arts (BA) is a program that focuses on the humanities and liberal arts. It often includes generalized education in science and math, but it may also include specialized training in subjects such as economics, history, literature and languages.

Some universities offer BA programs as part of their general education requirements while others may make them available only to students who wish to pursue certain majors within the university. In addition to the general education courses required by most BA programs students must elect some courses from specific fields related to their major field of study.

Bachelor Robotics (BEng)

IU International University of Applied Sciences – Online

IU International University of Applied Sciences – Online

Bad Honnef, Germany

The IU Bachelor in Robotics builds your knowledge in mechanical, electrical, and control engineering and expertise in computer science, data science, and artificial intelligence. Through a mix of theory and practical projects, you’ll acquire the necessary skills to manage projects, lead innovative new technologies, and become a robotics specialist with excellent interpersonal skills. With this degree, you can enter a truly innovative field and excel in a successful career. With IU, you can study from the comfort of your home,100% online.

Bachelor of Science in AI and Machine Learning

European Leadership University

European Leadership University

Amsterdam, Netherlands

Increase your freedom of choice! Some machine learning engineers work for the world’s top tech companies, others work for themselves. As a Machine Learning engineer, you can work anywhere in the world and under the terms you want.

Bachelor in Management – Management and Artificial Intelligence

Kozminski University

Kozminski University

Warsaw, Poland

The Management and Artificial Intelligence in the Digital Society Program is a specialization in the Bachelor in Management Program. The Program is a rare, but very necessary, a combination of insightful management knowledge with programming skills and data analytics. 

online bachelor machine learning

Now we consider online bachelor machine learning, csu global artificial intelligence, artificial intelligence applications in distance education and which degree is best for artificial intelligence.

A bachelor’s degree is earned though an educational program that can be completed in about four years. Individuals who obtain bachelor’s degrees often have greater career opportunities available to them due to their increased skills and experience.

Bachelor of Science in AI and Machine Learning

European Leadership University

European Leadership University

Amsterdam, Netherlands

Increase your freedom of choice! Some machine learning engineers work for the world’s top tech companies, others work for themselves. As a Machine Learning engineer, you can work anywhere in the world and under the terms you want. 

B.Sc. Data Science

IU International University of Applied Sciences - Online Studies

IU International University of Applied Sciences – Online Studies

Berlin, Germany

Big data and data science are trendy topics for a reason – questions regarding data, its collection and its uses, stand at the forefront of discussions about the role that technology plays in our lives. That’s why data experts are in high demand across a wide range of roles and industries. Build your future with an online BSC in Data Science at IU: you’ll cover all of the necessary mathematical and statistical concepts, how to work with data processing technologies and the different uses of machine learning. This study programme offers a variety of different focus topics, so you can choose the path that best suits your interests. Earn your degree 100% online, from Germany’s largest university of applied sciences. Students in this study programme are eligible for a dual degree from LSBU (London South Bank University) without any additional academic requirements.

B.Sc. Applied Artificial Intelligence

IU International University of Applied Sciences - Online Studies

IU International University of Applied Sciences – Online Studies

Berlin, Germany

Artificial intelligence tools are becoming a larger presence in our everyday lives and will continue to do so for years to come. From chatbots and personal digital assistants like Alexa or Siri to self-driving cars and futuristic defence robots – AI is here to stay and set the course for virtually any industry in the foreseeable future. This gives young professionals a unique chance to participate in an exciting field, where they can work in almost any sector. The Bachelor’s degree in Artificial Intelligence from IU is designed to help you make the most of this, and launch your career in optimal conditions. Familiarise yourself with robotics, machine learning and speech and image processing, and, at the later stages of your studies, choose the specialisations that match your future career goals, from autonomous vehicles to Industry 4.0. Get ready to shape the future.

csu global artificial intelligence

More details coming up on csu global artificial intelligence, artificial intelligence applications in distance education and which degree is best for artificial intelligence.

Lead the Next Generation of Computing with a Master’s Degree in Artificial Intelligence & Machine Learning

If you’re excited about the potential effect that artificial intelligence (AI) and machine learning will have on the technology industry and society as a whole, then you may want to consider getting your Master’s Degree in AI and Machine Learning from CSU Global.

Our 100% online program was designed to provide students with core knowledge needed to succeed in the fields of AI, machine learning, computer science, and software development.

Whether you’ve already got some experience in AI or machine learning and you’re in need of academic credentials required to take the next step in your career, or you’re new to the field, this program could be the catalyst needed to land a job or promotion in a related role.

Our fully accredited degree program will train you to analyze and associate AI principles into reasoning and uncertainty in a perceptive environment, including how to apply techniques for image analysis and reconstruction, and how to implement holistic AI and machine-learning solutions for a given problem of scenario.

Completing your Master’s in AI and Machine Learning online with CSU Global will prepare you to bring value to any organization from day one, ensuring you’re well prepared to help lead the next generation of computing using cutting-edge technology.

Career Outlook

15% GROWTH PROJECTED WITHIN THE FIELD Employment for Computer Information Research Scientists is expected to grow 15% by 2029, which is much faster than the average for all occupations.

COMPUTER AND INFORMATION RESEARCH SCIENTIST, AI OR MACHINE LEARNING ENGINEER/SCIENTIST, SOFTWARE DEVELOPER, COMPUTER SYSTEMS DESIGNER Top Artificial Intelligence and Machine Learning job titles.

$122,840 ESTIMATED ANNUAL SALARY According to the BLS, the average annual salary for Computer Information Research Scientists is over $122k.

Lightbulb icon

ESTABLISH AND ACHIEVE OBJECTIVES USING TECHNIQUES ASSOCIATED WITH AI REASONING AND UNCERTAINTY.

critical analysis icon

APPLY LOGIC, PROBABILITY ANALYSIS, AND MACHINE-LEARNING CONCEPTS TO PROBLEM-SOLVING INITIATIVES.

systems icon

ANALYZE SYSTEMS TO EFFECTIVELY MONITOR AND CONTROL DEVELOPMENT PROJECTS.

data mining icon

USE BEST PRACTICES IN REGARD TO APPLICATIONS IN SPEECH RECOGNITION, DATA PROCESSING, DATA MINING, AND ROBOTIC CONTROL.

What AI and Machine Learning Skills Will You Develop?

Our online Artificial Intelligence and Machine Learning program is geared toward students who already possess technical acumen, and who see AI and machine learning as an exciting, innovative career path.

If you’re interested in programming, math, probability and statistics, then this may be the perfect opportunity to help you explore topics you’re passionate about and to find a professional fit in an industry that you’re excited to work in.

Studying AI and machine learning with CSU Global will help you learn how to solve complex business problems with innovative technical solutions, and could open doors for career advancement in several related fields.

robotic arm

Learning outcomes for this program include:

  • Use principles and techniques associated with software development.
  • Apply artificial intelligence principles as needed for a given problem or scenario.
  • Apply machine learning principles to solve a specific problem or scenario.
  • Develop solutions that are capable of modeling human behavior.
  • Implement a solution that combines artificial intelligence and machine learning principles.
  • Evaluate the performance of applications in artificial intelligence and machine learning domains.

Core Degree Courses (30 Credits)

  • CSC500Principles of Programming
  • CSC501Management for the Computer Science Professional
  • CSC502Ethical Leadership in Software Development
  • CSC505Principles of Software Development
  • CSC506Design and Analysis of Algorithms
  • CSC507Foundations of Operating Systems
  • CSC510Foundations of Artificial Intelligence
  • CSC515Foundations of Computer Vision
  • CSC525Principles of Machine Learning
  • CSC580Applying Machine Learning and Neural Networks – Capstone

Note: Some Master of Science in Artificial Intelligence and Machine Learning students may also be required to take RES500 as part of their program if they have an undergraduate GPA below 3.00. In this case, the degree is 33 credits.

Prerequisites

Students applying for this degree must have taken an advanced course in Discrete Mathematics, and an advanced course in Probability and Statistics. Students who do not meet this requirement can seek admission with the program chair approval. Students admitted with approval from the program chair who did not meet the requirements will be required to take one or both of the following CSU Global pre-requisite course work or equivalent:

  • MTH350Discrete Mathematics
  • MTH410Quantitative Business Analysis


To meet pre-requisite requirements for admission, students must complete the above coursework within 12 months of starting and maintain a 3.0 grade point average. Students should reference the provisional admissions policy in the university catalog for additional admission requirements.

artificial intelligence applications in distance education

which degree is best for artificial intelligence

Are you interested in learning more about computer science and its application to artificial intelligence? Then you might want to look into a computer science degree program with a specialization in artificial intelligence.

A computer science degree is a common choice for students who want to work in AI. Many schools offer computer science programs with a track in AI or machine learning. This specialization allows students to take various classes in AI to help prepare them for careers in this field.

A special focus on AI can also help students choose between different career paths within the field. For example, if you want to develop software that helps people make better decisions, then you might be interested in becoming a software engineer or software developer. On the other hand, if you’re interested in developing applications that help people interact with technology more naturally, then you might be suited for jobs as an app designer or UX designer.

what is bsc artificial intelligence

Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour.

There are two main motivations for research. One is to understand natural intelligence through the use of computer models. The other provides techniques and technology for building systems capable of intelligent decisions and actions. Thus, AI is both a science and an engineering discipline.

Applications of AI range from ‘smart’ controllers for household devices to computers with the ability to converse in English, play games, conduct intelligent web searches or act as the brain of a robot.

We offer a wide range of AI courses delivered by leaders in their field. You will have the flexibility to focus on the areas of artificial intelligence that interest you most.Expand all Contract all 

What you will study

Year 1

You will be introduced to basic principles of programming and computation.

You will:

  • study how information can be represented and processed in computer systems
  • learn fundamental techniques for managing data
  • solve problems using computer programs

This year also includes courses in the mathematics necessary for all areas of informatics.

Together these form the foundations for more in-depth study of computation in future years.

You can also choose option courses from various schools across the University.

Second year entry

The School of Informatics does not accept applications for second year entry to our programmes.

Year 2

You will build on Year 1, covering more advanced programming and data structures, together with the related mathematics and broader professional and societal issues.

You will develop a greater understanding of:

  • software development
  • decision making
  • learning from data
  • the professional, social and ethical context of computing

You can also choose option courses from various schools across the University.

Year 3

Your studies will become more focused and you will have more choice in selecting specialised courses. We offer a range of options specific to artificial intelligence and other courses in informatics.

Your coursework assignments will typically provide you with experience in:

  • practical work
  • independent problem solving
  • group work

Your exact curriculum depends on your chosen courses. Artificial intelligence courses offered in recent years include:

  • robotics
  • computer processing of language
  • machine learning
  • automated reasoning

Other options offered recently include courses in the following (and up to 10 others):

  • computer security
  • operating systems
  • computer networks

Year 4

You will choose from a large number of advanced courses in artificial intelligence and other areas of informatics to build a portfolio, according to your interests.

Year 4 includes an individual honours project and you will develop a viable project starting from a given topic. You will have a variety of choices in selecting your topic, with a supervisor to guide you.

Programme structure

Find out more about the compulsory and optional courses in this degree programme.

To give you an idea of what you will study on this programme, we publish the latest available information. However, please note this may not be for your year of entry but for a different academic year.

Where you will study

Our facilities

You will be based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University’s Central Area.

You will have access to computer laboratories and quality software support.

The InfBase drop-in help desk is located in Appleton Tower. When access to the campus is restricted, InfBase operates as a virtual help desk.

InfPALS is run by Year 2 and 3 students as small study groups in Appleton Tower. When access to the campus is restricted they operate regular virtual meet-ups.

The Informatics Student Support Team is based within the Informatics Teaching Organisation in Appleton Tower.

Take a virtual tour

Take a closer look at all our facilities on the University’s Virtual Visit site.

Study abroad

In Year 3, you may have the option to study abroad through the University’s international exchange programme.

Learning and assessment

How will I learn?

You will be taught by leaders in their field through a combination of:

  • lectures
  • tutorials
  • practical classes

In later years, you will spend more time working on projects that involve:

  • building computer systems from scratch
  • developing systems
  • doing experimental work
  • working on theoretical topics with guidance from your supervisor

Support

Students in the School of Informatics have access to services that support their learning, particularly in the beginning of their degree.

InfPALS is a peer support service for Year 1 students focusing on material covered in courses but also general topics, related to informatics.

InfBase is a drop-in help desk for Year 1 and 2 students to get additional tutoring and support with their courses.

You will also be invited to join:

  • CompSoc, a tech society which offers a varied programme of events
  • ProgClub, to get more practical programming experience

Pastoral support is offered by the Informatics Student Support Team.

How will I be assessed?

You will be assessed by:

  • coursework assignments
  • larger projects
  • exams

You will undertake some project work individually and some with other students.

You will complete a large individual project in your final year.

Career opportunities

Our graduates have excellent career prospects in the IT industry and beyond.

Graduates comfortably secure roles such as:

  • software engineer
  • hardware engineer
  • app developer
  • web developer
  • programmer

Graduates increasingly work as data analysts, data scientists or business analysts in the financial sector.

Popular employers

Popular employers include:

  • Google
  • Facebook
  • Amazon
  • IBM
  • SkyScanner
  • Intel
  • Samsung
  • ARM
  • Nvida
  • Keysight
  • RockStar North
  • Royal Bank of Scotland
  • J.P. Morgan
  • Citigroup

Other industries, and professions, that rely heavily on computing systems and are potential employers for graduates include:

  • media (e.g. BBC)
  • communications (Ericsson, Huawei)
  • energy (British Gas)
  • medicine (Canon Medical Systems)

Start-ups and spinouts

Our school boasts a record number of start-ups and spinouts over the last ten years, including those set up by our alumni, such as:

  • Unicorn company, FanDuel
  • Robotical
  • PlayerData
  • Speech Graphics

Careers Service

We support you to recognise the wealth of possibilities ahead, at University and after graduation. Our award-winning Careers Service plays an essential part in your wider student experience at the University and provides:

  • tailored advice
  • individual guidance and personal assistance
  • internships and networking opportunities (with employers from local organisations to top multinationals)
  • access to the experience of our worldwide alumni network

We invest in your future beyond the end of your degree and studying at the University of Edinburgh will lay the foundations for your future success.

Entry requirements

Standard entry requirement

The standard entry requirement is:

  • SQA Highers: AAAAA – AAAB (achievement by end of S5 preferred). BBB must be achieved in one year of S4-S6.
  • A Levels: A*A*A* – AAB.
  • IB: 43 points with 777 at HL – 34 points with 655 at HL.

Minimum entry requirement

The minimum entry requirement for widening access applicants is:

  • SQA Highers: AABB by end of S6. BBB must be achieved in one year of S4-S6.
  • A Levels: ABB.
  • IB: 32 points with 655 at HL.

Required subjects

The grades used to meet our entry requirements must include:

  • SQA: Highers: Mathematics at A. Higher Applications of Mathematics is not accepted in place of Higher Mathematics. Advanced Higher Mathematics is recommended. Your Mathematics qualifications must have been achieved no more than two academic years prior to entry. National 5s: English at C. (Revised 2 May 2022 to include requirement for recent study of Mathematics.)
  • A Levels: Mathematics at A. Your Mathematics qualifications must have been achieved no more than two academic years prior to entry. GCSEs: English at C or 4. (Revised 2 May 2022 to include requirement for recent study of Mathematics.)
  • IB: HL: Mathematics (Analysis and approaches only) at 6. Your Mathematics qualifications must have been achieved no more than two academic years prior to entry. SL: English at 5. (Revised 2 May 2022 to include requirement for recent study of Mathematics.)

International applicants

We welcome applications from students studying a wide range of international qualifications.

Mature applicants

We welcome applications from mature students and accept a range of qualifications.

English language requirements

You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.

SQA, GCSE and IB

For SQA, GCSE and IB students, unless a higher level is specified in the stated entry requirements, a pass is required in English at the following grades or higher:

  • SQA National 5 at C
  • SQA Standard Grade at 3
  • GCSE at C or 4
  • Level 2 Certificate at C
  • IB Standard Level at 5 (English ab initio is not accepted for entry)

English language tests

We accept the following English language qualifications at the grades specified:

  • IELTS Academic: total 6.5 with at least 5.5 in each component.
  • TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
  • C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 162 in each component.
  • Trinity ISE: ISE II with distinctions in all four components.
  • PTE Academic: total 62 with at least 54 in each component.

We also accept a wider range of international qualifications and tests.

English language qualifications must be no more than three and a half years old from the start date of the degree you are applying to study, unless you are using IELTS, PTE Academic, TOEFL or Trinity ISE, in which case it must be no more than two years old.

Applying

Please apply for only one Computer Science degree as we are only able to consider one application to this subject area.

Discover Uni data

This information is part of a government initiative to enhance the material that higher education institutions provide about their degree programmes.

It is one of many sources of information which will enable you to make an informed decision on what and where to study.

Please note that some programmes do not have Discover Uni data available.

Fees, costs and funding

Tuition Fees

Tuition fees for BSc Artificial Intelligence

Additional costs

If you need to study from home, you may want to buy textbooks and a personal laptop for your benefit. Otherwise, you will have access to computing facilities in Appleton Tower.

Funding

For more information on how much it will cost to study with us and the financial support available see our fees and funding information.

Leave a Comment