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PROGRAMME CHOICE GUIDE
BENG AI PROGRAMME
XJTLU ACADEMY OF AI AND ADVANCED TECHNOLOGY西浦人工智能与先进技术学院
Admissions Q&A
01 What are the two pathways of the BEng AI programme?
Advanced Industrial Artificial Intelligence (AIAI-XEC) – Taicang Campus
Intelligent Systems (IS-SIP) - SIP Campus
02 What are the main diferences and connections between the two pathways?
Both pathways belong to the BEng AI programme, and students will obtain a Bachelor's Degree in Artificial Intelligence upon graduation.
The two pathways have different areas of focus: AIAI-XEC focuses on cutting-edge industry technologies and applications. In contrast, IS-SIP focuses on fundamental AI theories and the integration of software and hardware. For specific differences and connections, please refer to the appendix.
03 What are the characteristics of the AIAI-XEC pathway?
1. Advanced AI Technologies and Industry Applications Students will master AI technologies such as deep learning, computer vision, and natural language processing, and apply cutting-edge technologies such as generative AI and large language models, solving real-world industry problems and enhancing their future employability.
2. AI+
The academy collaborates closely with other XEC schools, using research lab resources to provide diverse AI courses in robotics, healthcare, fintech, autonomous driving, gaming, etc. Students will engage in interdisciplinary projects to gain hands-on experience.
3. Syntegrative Education Model and Project-based Learning
The curriculum integrates teaching with practical AI projects and industry practices. It uses a student-centred, project-based approach to cultivate students' ability to solve real-world problems. Module assessments are primarily based on group assignments and individual projects.
4. Practical Learning and Entrepreneurial Empowerment
Specialised Al EEH modules are offered, leveraging resources such as the Innovation Factory and X3 Co-Venture to help students transform their ideas into reality. Through hands-on experience and entrepreneurial support, students' innovative potential is cultivated.
5. Professional Development Programme (PDP)
The PDP includes Syntegrative Project, X³ Co-Venture, Innovation Factory, Internships, Summer Undergraduate Research Fellowship (SURF), XJTLU Global Entrepreneurial Dream-Chasers, Summer Bootcamp/Summer School. Upon completing a cumulative 600 hours, students will receive an honorary certificate from both XJTLU and the UoL.
04 What are the characteristics of the IS-SIP pathway?
1. Mastery of Fundamental Core Al Knowledge alongside Advanced Topics
You will develop the skills to become an expert in the fundamentals of AI and its application to advanced topics such as AI agents, generative models and large language models. The pathway will ensure you have a solid foundation and can keep up-to-date with the latest developments.
2. Software-Hardware Integration
This pathway combines software and hardware learning, equipping you to tackle challenges in rapidly expanding industries like robotics, healthcare, and AI chip development.
3. Research and Practice Led
You will be involved in a dynamic learning environment and have the opportunity to participate in various diverse research projects, competitions and internships, allowing you to develop the intense research and analytical skills necessary for future professional development.
4. Teamwork and Project Management Skills
The pathway focuses on collaborative learning to help you develop the teamwork and management skills necessary for an industry leadership or senior technical role.
05 What is the contact information for the BEng AI?
AIAI-XEC pathway:
You are welcome to email AcademyAIAT@xjtlu.edu.cn or xue chen.liu@xjtlu.edu.cn or call: 0512-88970571.
IS-SIP pathway: You are welcome to email AcademyAIAT@xjtlu.
edu.cn or shengchen.li@xjtlu.edu.cn.
06 What are the prerequisites for the BEng AI programme?
AIAI-XEC pathway: Linear algebra, calculus, multivariable calculus, regardless of module codes. Physics is not required.
IS-SIP pathway: Linear algebra, calculus, multivariable calculus, regardless of module codes. A foundation in physics is required.
\*Specific prerequisites shall be subject to the emails sent by the academicservices in the respective academic year.
Are there any admission restrictions for the BEng AI programme?
Prerequisite requirements must be satisfied first.Other restrictions shall be subject to the emails sent by the academicservices in the respective academic year.The number of admissions has no fixed quota; it will be adjusted according to the resource allocation of each school and the number of applicants.
08 What is the teaching mode of BEng AI programme?
The teaching modes for both pathways are the same. The teaching duration is 13 weeks, non-block teaching. Teaching forms include lectures, seminars, labs, etc.
Does the BEng AI programme have a webpage?
Please refer to the link: https://www.xjtlu.edu.cn/en/study/ undergraduate/artificial-intelligence.
10 What are the assessment methods for the BEng AI programme?
AIAI-XEC pathway: Mainly based on submitting papers, code, and experimental reports, with a small number of on-site exams.
IS-SIP pathway: Papers, code, and experimental reports, etc., with most modules including on-site exams.
11 What will be the average score for the BEng AI programme?
The module assessment difficulty is in line with the university's unified standards.
12 Is the requirement for mathematics high in the BEng AI programme?
The core of AI relies on mathematical foundations such as probability and statistics, linear algebra, and calculus, which are the underlying supports for technologies like machine learning and deep learning. Some modules focusing on model principles require solid mathematical abilities, while most other modules have relatively average mathematics requirements. Compared with other undergraduate mathematics programmes, BEng AI does not require the extensive use of mathematical thinking like applied mathematics and is relatively easier than financial mathematics.
13 Can female students do well in the BEng AI programme?
Whether one can do well in a programme depends on interest and effort.
14 Is the competition in the BEng AI programme fierce?
The competition in the BEng AI programme is relatively fierce. However, precisely because of the popularity of this field, it provides us with abundant development opportunities. Whether you choose to enter well-known domestic technology companies such as BAT, ByteDance, Huawei, and Xiaomi, engage in interdisciplinary fields like robotics, healthcare, finance, and education, or pursue further studies for a master's or doctoral degree, all are viable options. The key to success lies in continuous learning and practice, accumulating sufficient professional knowledge and skills to stand out in fierce competition and seize a broader career prospect.
15 What degrees and certificates will graduates of the AIAI-XEC pathway obtain?
Upon successful completion of their studies, students in this programme will obtain the Bachelor's Degree from XJTLU and the University of Liverpool, a diploma from XJTLU, and a Certificate of Achievement from both XJTLU and UoL if the students meet the 600 hours PDP requirement.
16 Are there any entrepreneurship modules in the AlAI-XEC pathway?
This programme offers customised AI entrepreneurship and innovation modules, with one 5-credit module per academic year from the second to the fourth year (other XEC programmes have two modules with a total of 10 credits per academic year). Part of the existing entrepreneurship and innovation modules can be selected as optional modules. Compared to other programmes in Taicang, graduates of the AIAI-XEC pathway will not have a minor certificate in innovation and entrepreneurship.
17 What preparations can one do in the first year to do well in the BEng AI programme after programme choice?
It is recommended to build a solid foundation in mathematics and programming in the first year, and you can also learn the programming language Python. In terms of qualities, maintain sensitivity, patience and perseverance with technology, and a continuous learning mindset.
18 What are the career prospects for students majoring in the BEng AI programme?
Graduates are not only qualified for positions such as AI Engineer, Machine Learning Engineer, and Robotics Engineer, but also capable of working in fields like healthcare, finance, manufacturing, and agriculture. Further promote innovations in diagnostics, personalised medicine, precision agriculture, fraud detection, and automation. AI-related careers are gradually transforming various industries, enhancing efficiency and accelerating technological innovation. In addition, graduates also possess the ability to hold leadership roles in public institutions and become entrepreneurs, and can utilise AI technology to improve public services and policy-making. For those who wish to pursue further studies, this programme provides a solid foundation to apply for master's or doctoral degrees at top global universities, focusing on AI applications or interdisciplinary research areas.
19 What is the outlook for the BEng AI programme, as well as the demand for AI personnel and salary standards in the market?
The outlook for the BEng AI programme is broad, with technological breakthroughs (such as large model inference, multimodal interaction, and AI Agent) and policy support driving explosive industry growth. The market demand is strong, with a low supply-to-demand ratio for talent. Positions such as algorithm engineers, computer vision, and natural language processing are most urgently needed. The recruitment salary levels and growth rates in the AI industry are leading. AI-related careers are gradually transforming various industries, enhancing efficiency and accelerating technological innovation. In the future, AI career prospects will be even broader, and composite talents with algorithm capabilities, cross-field experience, and ethical awareness will have a more tremendous competitive advantage.
20 What is the faculty situation of the AIAI-XEC pathway?
There are currently 3 professors, 11 associate professors, and 25 assistant professors. The faculty members all have learning and research experiences at internationally renowned universities, with a 100% doctoral degree possession rate. Professional teachers have made achievements in their respective fields, publishing numerous research articles in internationally renowned academic journals. Research directions cover multiple aspects such as computer vision, natural language processing, generative artificial intelligence, AI portfolio, robotics, and medical image processing. To date, more than 300 academic papers have been published, over a hundred patents have been granted, and research income is in the tens of millions of yuan. The academy owns 1 Suzhou Key Laboratory and 14 research laboratories based at Taicang campus.
Reference Website: https://www.xjtlu.edu.cn/en/study/ departments/academy-of-artificial-intelligence-and-advancedtechnology/academy-staff/academic-staff
21 Where can I see the research performance of the teachers?
Please refer to the webpage: https://www.xjtlu.edu.cn/en/study/ departments/academy-of-artificial-intelligence-and-advancedtechnology/research
22 Do students majoring in BEng AI have the opportunity to engage in research projects?
Yes. The academy regularly or irregularly provides research positions, which will be shared on the WeChat official account, LearningMall Core, and Research Seminars.
What is the proportion of foreign teachers of the AIAI-XEC pathway?
Around 23%.
24 Does the BEng AI programme ofer 2+2 option?
The AIAI-XEC pathway offers a 2+2 option, where students can choose to study at the University of Liverpool in their junior year.
For details, please refer to: https://www.liverpool.ac.uk/xjtlu/ taicang-opportunity/how-our-taicang-year-in-liverpool-works/
The IS-SIP pathway offers a 2+2 option. Students can transfer to the BEng in Computer Science and Electronic Engineering (AI pathway) during their junior year.
For details, please refer to: https://www.liverpool.ac.uk/xjtlu/ 2-2-opportunity/
25 What programming languages are taught in the BEng AI programme?
The programme offers Python, Java, and C++ modules in the second year.
26 What are the modules taught in the AIAI-XEC pathway?
Year 2 core modules: Python for AI, Object-Oriented Programming, Data Modelling and Analysis, Data Structure and Algorithms, Computer Architecture and Operating Systems,
26 Mathematics for AI and Data Science, AI Ideation, and Strategy.
Year 2 optional modules: AI Software Engineering, Intelligent User Interaction, and Strategic Intelligence.
Year 3 core modules: Machine Learning, Signal and Image Processing, Deep Learning, Pattern Recognition and Computer Vision, Data Analysis and Visualisation, AI Startup Development Lab.
Year 3 optional modules: AI in Autonomous Vehicles, AI in Healthcare and Biomedical Engineering, AI in XR, Gaming and Entertainment Industry, AI for multimodal data, Optimisation, Multi-Agent Systems, etc.
Year 4 core modules: Generative AI, Natural Language Processing, Privacy, Security & Ethics, FYP, AI Venture Capstone.
Year 4 optional modules: IoT for Smart Industry, Generative AI into Robotics, Digital Supply Chain, Interactive Technology, Intelligent Manufacturing Information System (Haier), IC Technology and Engineering, etc.
27 What are the modules taught in the IS-SIP pathway?
Year 2 core modules: C/C++ Programming, Electrical Circuits I, Engineering Math I, Python for AI, AI Fundamentals & Ethics, Electronic Circuits, Math for Machine Learning, Data Structure and Algorithms, Integrated Electronics and Design.
Year 3 core modules: Decision Computation and Language, Principles of Machine Learning, Signal Processing and Information Theory, Data Engineering, AI Agents, Deep Learning, Instrumentation and Control Systems, Digital Electronics II, Microprocessor Systems.
Year 4 core modules: AI Security, Principles of Natural Language Processing, Pattern Recognition in Computer Vision, Computer Auditory Systems, FYP.
Year 4 optional modules: Principles of Computer Games Design, Computer System Security, Image Processing, Digital System Design with HDL, Industrial Automation and Robot Control, Mobile Computing.
28 What are the diferences between the AIAI-XEC pathway and the Data Science and Big Data Technology with Contemporary Entrepreneurialism (UDSB)?
The difference between the two lies in the following: Big data refers to large-scale, high-speed, diverse, and high-value data sets, while AI is an intelligent technology that simulates human cognitive abilities to enable autonomous decision-making, learning, and innovation.
The AIAI-XEC pathway focuses on the theory, algorithms, and applications of AI, with employment mainly in positions such as algorithms, computer vision, and natural language processing; UDSB places more emphasis on teaching the basic theories and methods of data science, mathematics, and statistics, with career directions including data analysts and big data engineers. Although the two are complementary and intersecting (for example, AI relies on big data to train models, and data science uses machine learning to optimise analysis), the former focuses on algorithm and intelligent behaviour simulation, while the latter emphasises the mining of data value.
Their connection is primarily reflected in the following three aspects:
1. Big Data Drives the Development of AI
Big data provides crucial support for AI, allowing it to leverage machine learning and deep learning techniques to optimise algorithms automatically, enhancing the accuracy of predictions and decision-making. For example, in the medical field, AI can analyse vast amounts of healthcare data to assist in disease prediction and precise diagnosis.
2. AI Enhances the Value of Big Data
AI improves the efficiency and accuracy of big data analysis, reducing the need for manual intervention and enhancing decision-making quality. For instance,
businesses can use AI to analyse sales data, optimise market forecasting, and refine operational strategies to increase profitability.
3. Big Data and AI Mutually Reinforce Each Other, Driving Industrial Transformation
The integration of big data and AI accelerates industrial upgrades. In smart cities, AI analyses urban data to improve safety and management efficiency, while in manufacturing, intelligent production and predictive maintenance enable industry transformation and upgrading.
For specific differences and connections, please refer to the appendix.
29 What are the diferences between the AIAI-XEC pathway and the Information and Computing Science programme (ICS)?
The AIAI-XEC pathway focuses on intelligent algorithms and applications, concentrating on cutting-edge technologies such as machine learning, deep learning, and natural language processing, with employment concentrated in high-tech fields such as algorithms, computer vision, and natural language processing. The ICS cultivates general computer technology talents, covering basic fields such as information systems, software engineering, and system architecture, with employment widely matching positions such as software engineers and information system development. The AIAI-XEC pathway is more vertically in-depth in technical frontiers, while ICS tends to be more general in computer science and technology.
The AIAI-XEC pathway comprehensively carries out the Syntegrative Education model, which integrates general education, professional education, industry education,
entrepreneurship education, and management and leadership education through in-depth cooperation between XJTLU and enterprises, industries, and society, cultivating industry elites and industry leaders with an international vision who can stand on the shoulders of artificial intelligence and robots to drive future new developments.
Students will acquire solid AI expertise in deep learning, computer vision, natural language processing, etc., master the application of cutting-edge technologies such as generative AI and large language models, and have the ability to solve real-world industry problems, significantly enhancing their future employability.
Compared with ICS, graduates of the AIAI-XEC pathway will additionally obtain a Certificate of Achievement from both XJTLU and UoL if the students meet the 600 hours PDP requirement.
For specific differences and connections between the programmes, please refer to the appendix.
30 What competitions or conferences can students majoring in the BEng AI programme participate in?
Competitions include the International Mathematical Contest in Modelling, Kaggle, College Students’ “Internet+” Innovation and Entrepreneurship Competition, The University Physics Competition, ROBOCON, National Student Smart Car Race and so on. Conferences and journals include: Annual AAAI Conference on Artificial Intelligence, International Conference on Mathematics and Machine Learning, International Conference on Machine Learning, Pattern Recognition and Automation Engineering, IEEE International Conference on Computing and Complex Data, IEEE International Conference on Pattern Recognition and Machine Learning, International Conference on Machine Learning and Automation, etc.
31 What are the possible directions for further studies of graduates in the BEng AI programme?
AI, Machine Learning, Computer Science, Data Science, Big Data Technology, Robotics, Smart Healthcare, Financial Engineering, Electrical Engineering, etc.
32 What are the possible directions for further studies of graduates in the BEng AI programme?
United Kingdom: University of Oxford, University of Cambridge, Imperial College London, University College London, University of Edinburgh, University of Manchester, King's College London, University of Bristol, University of Birmingham, University of Sheffield, etc.
United States: Harvard University, Stanford University, California Institute of Technology, University of Pennsylvania, University of California, Berkeley, Cornell University, University of Chicago, Princeton University, Yale University, Johns Hopkins University, Columbia University, University of California, Los Angeles, New York University, University of Michigan, Northwestern University, etc.
Hong Kong: The University of Hong Kong, The Chinese University of Hong Kong, The Chinese University of Hong Kong, Shenzhen, The Hong Kong University of Science and Technology, etc.
Singapore: National University of Singapore, Nanyang Technological University, etc.
\*The above lists only a selection of universities that offer programs in the field of Artificial Intelligence.
| BEng Artificial Intelligence | ||||||||||
| 4+XOverview | BEng Al – Advanced IndustrialAI Pathway (XEC) | BEng Al – Intelligent SystemsPathway (SIP) | ||||||||
| Year 1 (SIP): Common YearYear 2 (XEC): Al and CS FoundationModulesYear 3 (XEC): AI Core modules + Alapplication modules supported byresearch labsYear 4 (XEC): Advanced AIresearch-based modules +Advanced Industry-themed modulessupported by schools in XEC | Year 1 (SIP): Common YearYear 2 (SIP): Al and EE FoundationModulesYear 3 (SIP): Al Core modules +Hardware modulesYear 4 (SIP): Advanced AIresearch-based modules + SAToptional modules | |||||||||
| Articulationanddegree | 4+X: BEng Artificial Intelligence2+2: BEng Artificial Intelligence | 4+X: BEng Artificial Intelligence2+2: BEng Computer Science andElectronic Engineering (Al pathway) | ||||||||
| Feature | Syntegrative Education model:industry-driven and emphasisesproject-based learning and designthinking in teaching and research. | Standard XJTLU L&T mode,Research and practice-led | ||||||||
| Curriculum | Al modules:Python for AlMachine learningDeep learningPattern Recognition and ComputerVisionNatural Language ProcessingGenerative AlPrivacy, Security & EthicsAl application modules supportedby research labs:Al in Autonomous VehiclesAl in Healthcare and BiomedicalEngineeringAl in XR, Gaming and EntertainmentIndustryAl for multimodal data | Al modules:Python for AlPrinciples of machine learningDeep learningAl AgentsPattern Recognition in ComputerVisionPrinciples of Natural LanguageProcessingComputer Auditory SystemsAl SecurityEE and Hardware modules:Electrical Circuits IElectronic CircuitsDigital Electronics I and IIIntegrated Electronics and DesignMicroprocessor Systems | ||||||||
| Advanced Industry-themedoptional modules supported byschools in XEC:loT for Smart IndustryGenerative Al in RoboticsDigital Supply ChainInteractive TechnologyIntelligent Manufacturing Informa-tion System (Haier)IC Technology and EngineeringNew ENT modules:Al Ideation and StrategyAl Startup Development LabAl Venture Capstone | Optional modules:Principles of Computer GamesDesignComputer System SecurityImage ProcessingDigital System Design with HDLIndustrial Automation and RobotControlMobile Computing | |||||||||
| AssessmentMethods | Coursework, Individual ProjectGroup Project, Poster, Lab Report,etc.Only a limited number of modulesinclude exams. | Coursework, Individual Project,Group Project, Poster, Lab Report,etc.Most modules will be assessedthrough exams. | ||||||||
| Projects | The Professional DevelopmentProgramme (PDP), consists of:- Syntegrative Project: DeepPractice Throughoutthe Academic Year- X³ Co-Venture: Igniting Entrepre-neurial Dreams- Innovation Factory: The Launch-pad for Technological Dreams- Internships: Stepping into the | - Summer Undergraduate ResearchFellowship (SURF)- Academic Conferences andSeminars: Showcase Achievements,Broaden Horizons- Corporate Collaboration andInternship Opportunities: CombiningPractice and Innovation- Engineering Challenges and GlobalCompetitions: Stimulate InnovationPotential, Demonstrate Excellence- Key Laboratory R&D Opportunities:Deeply Involved in Smart TechnologyApplication Development- Mentor Collaboration Projects:Direct Path to Research, Embark onthe Academic Journey | ||||||||
| - XJTLU Global EntrepreneurDream-ChasersCompetition- Summer Bootcamp/SummerSchool- Other Practical Projects | r Summer Under | |||||||||
| BEng Artificial Intelli-gence | BEng Data Science andBig Data Technology withContemporary Entrepren-eurialism | BSc Information andComputing Science | ||||||||||||||||
| Campus | XEC - XJTLU TaicangCampus: BEng Al – AlAIPathwaySIP – XJTLU SIP campus:BEng Al – IS Pathway | XEC – XJTLU TaicangCampus | SIP - XJTLU SIPCampus | |||||||||||||||
| Articulationanddegree | 4+X(AIAI-XEC): BEngArtificial Intelligence4+X(IS-SIP): BEngArtificial Intelligence2+2(AIAI-XEC): BEngArtificial Intelligence2+2(IS-SIP): : BEngComputer Science andElectronic Engineering (AIpathway) | 4+X: BEng DataScience and Big DataTechnology withContemporary Entrepre-neurialism2+2: BEng Data Scienceand Big Data Technolo-gy with ContemporaryEntrepreneurialism | 4+X: BSc Informa-tion and ComputingScience2+2: BSc ComputerScience | |||||||||||||||
| Feature | BEng AI – AlAI Pathway(XEC):Syntegrative EducationmodelBEng AI – IS Pathway(SIP):Standard XJTLU L&Tmode | The SyntegrativeEducation model isindustry-driven andemphasisesproject-based learningand design thinking inteaching and research. | Standard XJTLU L&Tmode, Research andpractice-led | |||||||||||||||
| Curriculum | Compulsory Al modules(available to bothpathways), e.g.,Python for AlDeep learning,Pattern Recognition andComputer Vision,Natural LanguageProcessing, etc.AIAI pathway specialisedmodules, e.g.,Al in Autonomous VehiclesAl in Healthcare andBiomedical EngineeringAl in XR, Gaming andEntertainment Industry | Compulsory DataScience modules, e.g.,Introduction toDatabase,Machine Learning,Data Analytics andVisualisation,Applied Linear Statisti-cal Models,Networking andDistributed Computing,etc.Optional Modules for Aland Data Science, e.g,Pattern Recognition andComputer Vision, | CompulsoryComputer Sciencemodules, e.g.,Operating SystemsConcepts,Software Engineer-ing,Human-CentricComputing,Decision Computa-tion and Language,etc. | |||||||||||||||
| Al in Smart Cities, etc.IS pathway specialisedmodules, e.g., | Natural LanguageProcessingFundamentals of ParallelComputing | Optional Modules,e.g.,Mobile ComputingTechnologies for | ||||||||||||||||
| Electrical Circuits IElectronic CircuitsDigital Electronics I and IIIntegrated Electronicsand Design Microproces-sor Systems,Al Agents, etc.(Please refer to thepathway comparisontable for more informa-tion.) | ||||||||||||||||||
| Data Mining/KnowledgeDiscovery in DatabasesENT modules for “withContemporaryEntrepreneurialism”:Creative Innovator'sToolkitStrategic IntelligenceDigital Startup LabIndustry ReadinessTeam Technopreneur-ship | E-CommerceComputer SystemsSecurityFormal MethodsMulti-Agent Systems | |||||||||||||||||
| Computer GamesDesignBio-ComputationMachine Learning,etc. | ||||||||||||||||||
| KnowledgeandSkills | • Provide a comprehen-sive introduction to themain areas of Al,including programming,machine learning, deeplearning, natural languageprocessing, and computervision.• Develop intelligencesystems with Al technolo- | • A solid foundation inAl, mathematics,statistics, and computerscience, equipping youwith the analytical and | • The ability todesign and developcomputer-basedsystems• The skills to | |||||||||||||||
| technical skills neces-sary to understand andapply advanced datascience methods; | analyse the effective-ness of comput-er-based systemsand how they maybe developed | |||||||||||||||||
| • The ability to process | be | |||||||||||||||||
| gies considering ethics,the environment, risks,and societal and culturalimpacts.• Apply Al knowledge to | and analyse big data | • A demonstrated | ||||||||||||||||
| across multiplecomputing platforms | knowledge andunderstanding of | |||||||||||||||||
| ledge to | and statistical software, | mathematical | ||||||||||||||||
| enabling you to | principles and | |||||||||||||||||
| solve complex problemsin robotics, healthcare, | plex problems | manage, analyse, and | computational | |||||||||||||||
| extract valuable insights | modelling which | |||||||||||||||||
| finance, etc.• Develop students | from large datasets for | underpin the study of | ||||||||||||||||
| lop students' | use in diverse | information and | ||||||||||||||||
| communicate Al-related | ability to efficiently | industries. This includes | ||||||||||||||||
| gaining expertise in data | • The ability to work | |||||||||||||||||
| concepts, ideas, prob- | collection, storage,man- | as a member of adevelopment team, | ||||||||||||||||
| lems, and solutions in | agement, and mining | |||||||||||||||||
| English to specialist andnon-specialist audiences. | techniques; | |||||||||||||||||
| • BEng AI – AlAI Pathway:Equip students withbroad industrial knowl-edge and experience, as | • Comprehensiveknowledge of entrepre- | recognising thedistinct roles within ateam and different | ||||||||||||||||
| knowledge | ||||||||||||||||||
| project management, | ways ofof | |||||||||||||||||
| well as the skills enabling | and innovation, and the | teams | ||||||||||||||||
| them to analyse and | ability to apply theseconcepts in real-worldbusiness environments.You will be prepared tolead projects, drive | |||||||||||||||||
| solve real-world problemsusing Al technologies. | ||||||||||||||||||
| • BEng AI – AIAI Pathway:Build an entrepreneurial | ||||||||||||||||||
| lead | ||||||||||||||||||
| mindset, crucial collabo- | innovat | ion, and manage | ||||||||||||||||
| rative abilities, increasing | teams effectively with | |||||||||||||||||
| employability, fostering | the mindset of an | |||||||||||||||||
| market-ready expertise, | entrepreneur; and | |||||||||||||||||
| and deepening commer- | • High-level communi- | |||||||||||||||||
| cial understanding. | cation, interpersonal, | |||||||||||||||||
| • BEng AI – IS Pathway: | problem-solving, and | |||||||||||||||||
| Demonstrate a working | analytical skills are | |||||||||||||||||
| knowledge of electrical | highly transferable | |||||||||||||||||
| and electronic circuits | across various sectors. | |||||||||||||||||
| and computer | Whether in technology, | |||||||||||||||||
| systems/architecture, andthe ability to implementAl solutions with such | finance, healthcare, ormanufacturing, yourability to think critically, | |||||||||||||||||
| knowledge. | collaborate effectivel | and solve complexproblems will make youa valuable asset to anyorganisation. | ||||||||||||||||
| Careers | Graduates will be wellprepared for positionssuch as:• Al Engineer• Machine LearningEngineer• Čomputer VisionEngineer• NLP Specialist• Robotics EngineerGraduates will also gain asolid foundation forpostgraduate study inArtificial Intelligence. | Graduates will be wellprepared for positionssuch as:• Data scientists• Big Data Engineer• Machine LearningEngineer• Business IntelligenceAnalyst• Technology consultantsin industriesGraduates will also gain alsolid foundation forpostgraduate study inData Science and BigData. | Graduates will be wellprepared for positionssuch as:• Software engineers,• Information systemdevelopers,• System administra-tors,• Jobs in theinformation technolo-gy and computingindustries.Graduates will alsogain a solid founda-tion for postgraduateinformation andcomputer sciencestudies. | |||||||||||||||
BEng AI -(Advanced Industrial AI) XEC Pathway
BEng AI -(Intelligent Systems) SIP Pathway
BEng AI SAT Pathway Year 4 optional modules (Choose 2
out of 6): CPT306 Principles of Computer Games Design (5.0) CAN304 Computer System Security (5.0) INT302 Image Processing (5.0) EEE339 Digital System Design with HDL (5.0) MEC303 Industrial Automation and Robot Control(5.0) CAN301 Mobile Computing (5.0)
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