data science faculty

School of Data Science and Business Intelligence

Job Title:Visiting Faculty &ndash; Blockchain Technology &amp; Data ScienceLocation:Mumbai &ndash; Patkar&ndash;Varde College, Goregaon West (SDBI &ndash; School of Data and Business Intelligence)Job Type:Contractual / Temporary | Visiting Faculty Mode: In-personAbout SDBISDBI (School of Data and Business Intelligence) is a premier institute focused on Data Science, Business Intelligence, and emerging technologies. Our mission is to bridge the gap between academia and industry by delivering industry-aligned, future-ready education in areas such as Artificial Intelligence, Cloud Computing, and Blockchain Technology.Role DescriptionWe invite applications for the position of Visiting Faculty &ndash; Blockchain Technology &amp; Data Science at our Mumbai branch located at Patkar&ndash;Varde College, Goregaon West.The selected faculty will teach Blockchain fundamentals integrated with Data Science applications, enabling students to understand decentralized systems, smart contracts, and blockchain&rsquo;s role in data security, transparency, and analytics.Key Responsibilities<ul><li>Deliver interactive lectures and hands-on practical sessions on Blockchain Technology and Data Science</li><li>Cover topics including:</li><li>Blockchain architecture and consensus mechanisms</li><li>Smart contracts and decentralized applications (DApps)</li><li>Data integration with blockchain systems</li><li>Blockchain use cases in analytics and data security</li><li>Guide students in applying data science techniques such as data cleaning, modeling, and visualization to blockchain datasets</li><li>Develop, update, and maintain course content, lab exercises, assignments, and projects aligned with academic and industry standards</li><li>Introduce students to real-world platforms such as Ethereum, Solana, and Hyperledger</li><li>Mentor students in project-based learning, especially in blockchain applications across AI, IoT, and Big Data</li><li>Stay updated with advancements in Web3, decentralized data systems, and blockchain ecosystems</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, IT, or related disciplines</li><li>Proven academic or industry experience in Blockchain Technology and Data Science</li><li>Hands-on familiarity with blockchain platforms (Ethereum, Solana, Hyperledger)</li><li>Programming experience in Python, Solidity, R (preferred)</li><li>Knowledge of machine learning and data analytics frameworks is an added advantage</li><li>Prior teaching or corporate training experience preferred</li><li>Excellent communication and presentation skills</li><li>Strong ability to simplify complex technical concepts for students</li></ul>Experience (Preferred)<ul><li>3+ years in higher education teaching</li><li>3+ years of hands-on experience in Blockchain Technology</li></ul>Why Associate with SDBI?<ul><li>Teach industry-relevant, future-focused curriculum</li><li>Flexible visiting faculty engagement</li><li>Opportunity to mentor students in emerging technologies</li><li>Association with a growing academic brand in Data Science and Blockchain</li></ul>How to Apply - Directly apply here or email your updated resume to: info@sdbi.in with Subject Line: Application &ndash; Visiting Faculty (Blockchain &amp; Data Science)Work Location: In-person (Mumbai &ndash; Patkar&ndash;Varde College, Goregaon West)Job Type: Contractual / TemporaryPay: ₹20,000.00 - ₹40,000.00 per monthExperience:<ul><li>Higher education teaching: 3 years (Preferred)</li><li>blockchain technology: 3 years (Preferred)</li></ul>Work Location: In person

Visiting Faculty – Blockchain Technology & Data Science

Netcraftz Edutech pvt lts

Job TitleData Scientist Trainer (B.Sc. &amp; BCA &ndash; 2nd Semester)Job TypeFull-Time / Part-Time / Visiting Faculty (as applicable)DepartmentComputer Science / Data Science / Information TechnologyJob SummaryWe are seeking a knowledgeable and motivated Data Scientist Trainer to teach 2nd Semester B.Sc. and BCA students. The trainer will be responsible for delivering foundational concepts of data science, programming, statistics, and data analysis, using practical, student-friendly teaching methods aligned with the university syllabus.Key Responsibilities<ul><li>Teach core Data Science subjects to 2nd semester B.Sc. and BCA students</li><li>Explain fundamental concepts such as:</li><li>Introduction to Data Science</li><li>Python Programming / R (basics)</li><li>Data Types and Data Handling</li><li>Basic Statistics and Probability</li><li>Data Visualization concepts</li><li>Conduct practical lab sessions and hands-on exercises</li><li>Prepare lesson plans, notes, assignments, and assessments</li><li>Evaluate student performance through tests, projects, and practical exams</li><li>Guide students in mini-projects and real-world data examples</li><li>Stay updated with current trends in data science and analytics</li><li>Maintain academic discipline and mentor students when required</li></ul>Required Qualifications<ul><li>Master&rsquo;s Degree in Data Science / Computer Science / Statistics / IT / AI / ML</li><li>(Bachelor&rsquo;s degree with strong industry experience may be considered)</li><li>Prior teaching or training experience preferred</li><li>Strong knowledge of:</li><li>Python (NumPy, Pandas, Matplotlib basics)</li><li>Statistics fundamentals</li><li>Data analysis conceptsSkills Required</li><li>Excellent communication and presentation skills</li><li>Ability to explain complex topics in a simple manner</li><li>Strong practical and problem-solving skills</li><li>Classroom management and student engagement skills</li><li>Basic knowledge of databases (SQL &ndash; optional but preferred)</li></ul>Experience<ul><li>1&ndash;5 years of teaching or industry experience in Data Science or related fields</li><li>Freshers with strong subject knowledge and teaching aptitude may also apply</li></ul>Tools &amp; Technologies<ul><li>Python, Jupyter Notebook</li><li>Excel / Google Sheets</li><li>Basic SQL</li><li>Data Visualization tools (Matplotlib, Seaborn &ndash; basics)</li></ul>SalaryAs per institutional norms and candidate experienceWork LocationOn-campus / Online (as applicable)SHARE YOUR RESUME : 9686069394Job Type: FreelancePay: ₹500.00 - ₹600.00 per hourWork Location: In person

DATA SCIENTIST TRAINER

Netcraft

Job TitleData Scientist Trainer (B.Sc. &amp; BCA &ndash; 2nd Semester)Job TypeFull-Time / Part-Time / Visiting Faculty (as applicable)DepartmentComputer Science / Data Science / Information TechnologyJob SummaryWe are seeking a knowledgeable and motivated Data Scientist Trainer to teach 2nd Semester B.Sc. and BCA students. The trainer will be responsible for delivering foundational concepts of data science, programming, statistics, and data analysis, using practical, student-friendly teaching methods aligned with the university syllabus.Key ResponsibilitiesTeach core Data Science subjects to 2nd semester B.Sc. and BCA studentsExplain fundamental concepts such as:Introduction to Data SciencePython Programming / R (basics)Data Types and Data HandlingBasic Statistics and ProbabilityData Visualization conceptsConduct practical lab sessions and hands-on exercisesPrepare lesson plans, notes, assignments, and assessmentsEvaluate student performance through tests, projects, and practical examsGuide students in mini-projects and real-world data examplesStay updated with current trends in data science and analyticsMaintain academic discipline and mentor students when requiredRequired QualificationsMaster&rsquo;s Degree in Data Science / Computer Science / Statistics / IT / AI / ML(Bachelor&rsquo;s degree with strong industry experience may be considered)Prior teaching or training experience preferredStrong knowledge of:Python (NumPy, Pandas, Matplotlib basics)Statistics fundamentalsData analysis conceptsSkills RequiredExcellent communication and presentation skillsAbility to explain complex topics in a simple mannerStrong practical and problem-solving skillsClassroom management and student engagement skillsBasic knowledge of databases (SQL &ndash; optional but preferred)Experience1&ndash;5 years of teaching or industry experience in Data Science or related fieldsFreshers with strong subject knowledge and teaching aptitude may also applyTools &amp; TechnologiesPython, Jupyter NotebookExcel / Google SheetsBasic SQLData Visualization tools (Matplotlib, Seaborn &ndash; basics)SalaryAs per institutional norms and candidate experienceWork LocationOn-campus / Online (as applicable)SHARE YOUR RESUME : 9686069394Job Type: FreelancePay: ₹500.00 - ₹550.00 per hourWork Location: In person

DATA SCIENTISH TRAINER

King Abdullah University of Science and Technology

179488
 <div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Faculty Positions: Physical Science and Engineering Division (faculty): Material Science and Engineering Program
</div></div></div><div><div><h3 class="jobSectionHeader">Location
</h3><div>King Abdullah University of Science and Technology
</div></div><div><h3 class="jobSectionHeader">Open Date
</h3><div>Dec 21, 2025
</div></div><div><h3 class="jobSectionHeader">Deadline
</h3><div>Jan 31, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader">Description
</h3><div><div>KAUST | Quantum Technologies

A newly established quantum device fabrication initiative at KAUST is seeking a Fabrication Engineer to support chip fabrication for next-generation quantum technologies, with a focus on superconducting and photonic circuits. This role offers a unique opportunity to help shape emerging quantum fabrication capabilities at KAUST during an early and formative stage. The role leverages KAUST&rsquo;s research ecosystem and its state-of-the-art cleanroom facilities, working closely with KAUST researchers and external collaborators.

Key Responsibilities
<ul><li>Fabricate and optimize superconducting and photonic quantum devices in KAUST Cleanrooms</li></ul>
<ul><li>Develop, document, and refine fabrication recipes and process flows</li></ul>
<ul><li>Work closely with KAUST scientists and project partners to translate designs into reproducible devices</li></ul>
<ul><li>Support process integration, yield improvement, and troubleshooting</li></ul>
<ul><li>Maintain high-quality process documentation, experimental records, and data organization</li></ul></div> 

</div>
</div></div><div><div><h3 class="jobSectionHeader">Qualifications
</h3><div><div>Required Qualifications
<ul><li>Master&rsquo;s degree or higher in Electrical Engineering, Applied Physics, Materials Science, or related field</li></ul>
<ul><li>3-5 years of hands-on cleanroom fabrication experience (academic or industrial)</li></ul>
<ul><li>Experience with thin-film deposition, lithography, etching, and device processing</li></ul>
<ul><li>Strong experimental discipline and professional documentation practices</li></ul>

Highly Desirable
<ul><li>Experience with superconducting devices and/or photonic integrated circuits</li></ul>
<ul><li>Device and process modeling experience (e.g., ANSYS / HFSS / COMSOL / FDTD)</li></ul>

About KAUST [kaust.edu.sa]

King Abdullah University of Science and Technology (KAUST) is a world-class, graduate-level research university located on the shores of the Red Sea in Thuwal, Saudi Arabia. KAUST advances science and technology through distinctive and collaborative research integrated with graduate education, addressing global challenges in areas such as food, water, energy, and the environment. With a diverse international community and state-of-the-art facilities, KAUST fosters innovation, discovery, and the pursuit of knowledge to benefit society locally and globally.</div>
</div>
</div></div><div><div><h3 class="jobSectionHeader">Application Instructions
</h3><div><div>Applicants should upload the following documents as part of their application:
<ul>
<li>Curriculum Vitae (CV)
</li>
<li>Cover letter</li></ul> 

Applications must be submitted by January 31, 2026.</div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader">Application Process
</h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div>

Fabrication Engineer

National Institute of Technology

<div>
 
 
 About NIT
 
 
 
 The
 
 National Institute of Technology (NIT), Lahore
 
 , is a federally chartered higher education institution Powered by
 
 Arizona State University&reg; (ASU)
 
 ; ranked the most innovative university in the United States for eleven consecutive years by
 
 U.S. News &amp; World Report (2016-2026)
 
 . As part of the
 
 ASU Cintana Global Alliance
 
 , NIT offers American-style education, global pathways to obtain an American degree, and a globally benchmarked curriculum designed to nurture critical thinking, innovation, and leadership among Pakistan&rsquo;s next generation of professionals.
 
 
 
 
 
 NIT seeks dynamic, qualified and experienced faculty for the positions of
 
 Professor
 
 ,
 
 Associate Professor
 
 ,
 
 Assistant Professor
 
 ,
 
 Lecturer
 
 and
 
 Lab Instructor
 
 in the following schools:
 
 <ul>
 <li>
 School of Data Sciences &amp; Information Technology
 </li>
 <li>
 School of Management Sciences
 </li>
 <li>
 School of Social Sciences
 </li>
 </ul>
 
 
 
 
 The preferred candidate has the ability to work collaboratively in diverse and inclusive academic environment.
 
 
 
 
 
 
 Disciplines:
 
 
 
 
 School of Data Science and Information Technology:
 
 
 <ul>
 <li>
 Computer Science
 </li>
 <li>
 Data Science
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Cybersecurity
 </li>
 <li>
 Software Engineering
 </li>
 <li>
 Computer engineering
 </li>
 </ul>
 
 
 
 
 
 School of Management Sciences:
 
 
 <ul>
 <li>
 Marketing
 </li>
 <li>
 Accounting
 </li>
 <li>
 Finance
 </li>
 <li>
 Management
 </li>
 <li>
 Supply chain
 </li>
 <li>
 Business Analytics
 </li>
 <li>
 Entrepreneurship
 </li>
 <li>
 Global Management
 </li>
 <li>
 MBA
 </li>
 </ul>
 
 
 
 
 
 
 
 
 School of Social Sciences:
 
 
 <ul>
 <li>
 English Composition and Writing
 </li>
 <li>
 Communication
 </li>
 <li>
 Islamic Studies
 </li>
 <li>
 Pakistan Studies
 </li>
 <li>
 Mathematics
 </li>
 <li>
 Economics
 </li>
 <li>
 Political Science
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 NIT Powered by ASU offers a competitive salary package, negotiable based on qualifications and experience. Employees will also enjoy a defined career path, a contributory provident fund and comprehensive medical insurance coverage for themselves and their families. These benefits are designed to support both professional growth and personal well-being.
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 
 Senior Positions (Associate/Full Professor)
 
 : Proven record of teaching &amp; research, ability to secure research funding, leadership in academic program development, and a continued commitment to teaching &amp; excellence.
 </li>
 <li>
 
 Assistant Professor:
 
 PhD (completed or near completion within six months) with experience or strong potential for teaching skills in English, and effective communication abilities.
 </li>
 <li>
 
 Lecturer/Teaching Fellow:
 
 18 years of education with Master&rsquo;s/MPhil degree in relevant discipline.
 </li>
 <li>
 
 Lab Instructor:
 
 16 years of education with bachelor&rsquo;s degree in a relevant discipline.
 </li>
 <li>
 
 Teaching Assistant/Associates:
 
 16/18 years of education with bachelor&rsquo;s/master&rsquo;s degree in a relevant discipline
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Additional Qualifications:
 
 
 <ul>
 <li>
 Experience of working in diverse and multicultural settings.
 </li>
 <li>
 Relevant industry and/or other professional work experience.
 </li>
 <li>
 Alignment with faculty attributes
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Application Process:
 
 
 
 Interested applicants should submit the following documents and details on the link given below:
 
 <ul>
 <li>
 Updated resume&rsquo;
 </li>
 <li>
 Cover Letter, outlining the interest in the position, research statement and teaching philosophy
 </li>
 <li>
 Contact information of three professional references
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Apply Now:
 
 
 
 https://docs.google.com/forms/d/e/1FAIpQLSd8GZ5USOQ-CYR1FJC_4xxoHWekTSPyEu83C7BtxI9ebbAS2A/viewform?usp=dialog
 
</div>

Professor

Bharat cares

About BharatCaresBharatCares (SMEC Trust), the social impact arm of the CSRBOX Group stands tall amongst the Top 50 Social Impact Organizations in India.Specifically established and curated for program delivery, BharatCares commitment revolves around the principles of innovation, technology, and scalability, aiming to address societal challenges comprehensively.Functioning as a social solution bridge, BharatCares facilitates collaboration among communities, innovators, funders and government to implement the best impact solution for the last mile. Our flagship initiatives focus on improving education, employability, rural and healthcare infrastructure, entrepreneurship, environmental sustainability and road safety.For more information, visit: www.bharatcares.orgCurious about what Life @ CSRBOX looks like? Explore: https://csrbox.org/Life-at-CSRBOX/About the PositionThe Senior Engagement Associate &ndash; AI, Machine Learning &amp; Coding will play a key role in supporting the Centre of Excellence (CoE) in AI, Machine Learning &amp; Coding in Panchkula( Haryana). The incumbent will be responsible for coordinating AI/ML skilling programs, fostering industry collaborations, engaging with academic institutions, and driving applied research and innovation. The role requires a strong technical background in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Coding, while also focusing on program execution, stakeholder engagement, and workforce upskilling initiatives.Responsibilities<ul><li>Establish partnerships with AI-driven startups, IT companies, EdTech firms, and research organizations to support CoE initiatives.</li><li>Liaise with universities, technical institutions, and coding bootcamps to develop structured AI/ML training programs.</li><li>Engage with government agencies, CSR partners, and funding bodies to facilitate seamless program execution.</li><li>Assist in designing and delivering AI, ML, and coding bootcamps, hackathons, and certification programs.</li><li>Organize hands-on workshops in Python, TensorFlow, PyTorch, Data Science, and Deep Learning models.</li><li>Facilitate mentorship programs with industry experts, data scientists, and AI researchers to enhance learning outcomes.</li><li>Support students and faculty in developing AI-driven research projects and real-world applications.</li><li>Assist in publishing research papers, white papers, and case studies in AI/ML domains.</li><li>Coordinate with industry partners for live projects, AI solutions development, and innovation challenges.</li><li>Track and measure the effectiveness of AI skilling programs, student progress, and industry collaborations.</li><li>Prepare reports and insights for funding agencies, government stakeholders, and academic partners.</li><li>Ensure compliance with program objectives, funding policies, and accreditation guidelines.</li><li>Promote the CoE&rsquo;s initiatives through seminars, AI summits, digital outreach, and social media campaigns.</li><li>Engage with students, AI enthusiasts, and professionals to increase participation in CoE programs.</li><li>Develop newsletters, blogs, and case studies showcasing AI innovations and impact stories.</li></ul>Mandatory Qualification and Experience:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields.</li><li>Certifications in AI, ML, Data Science, or Python-based Machine Learning frameworks will be an advantage.</li><li>2-4 years of experience in AI, Machine Learning, Data Science, Coding, or skilling programs.</li><li>Hands-on expertise in Python, TensorFlow, PyTorch, NLP, Computer Vision, and Big Data analytics.</li><li>Experience in coordinating AI training programs, industry-academic collaborations, or research initiatives.</li><li>Strong understanding of AI/ML concepts, coding practices, and real-world applications.</li><li>Experience in curriculum design, training coordination, and research project execution.</li><li>Excellent program management, stakeholder engagement, and reporting capabilities.</li><li>Strong communication and interpersonal skills for engaging with students, faculty, and industry professionals.</li><li>Ability to work in a fast-paced, collaborative environment with multiple stakeholders.</li><li>Knowledge of government skilling initiatives (Skill India, AI for All, Digital India, Make in India, Atmanirbhar Bharat, NEP 2020).</li></ul>Job Type: Full-timePay: ₹550,000.00 - ₹940,000.00 per monthBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Artificial Intelligence Trainer

American University in the Emirates

Job Title:Executive Director of Graduate StudiesInstitution:American University in the Emirates (AUE)Reporting To:Vice President for Research PositionOverview The American University in the Emirates (AUE) seeks an experienced and visionaryExecutive Director of Graduate Studiesto lead, develop, and enhance the quality and impact of the University's graduate programs. This role provides strategic direction, academic oversight, and administrative leadership for all Master's and Doctoral programs, ensuring alignment with institutional goals, regulatory requirements, and international standards. The Executive Director is responsible for academic policy development, student lifecycle management, faculty coordination, and research integration. A key function of this position is to cultivate a supportive, innovative, and globally engaged graduate education environment through collaboration with internal and external stakeholders, including colleges, industry, alumni, and government bodies.Key Responsibilities Strategic and Academic Leadership<ul><li>Provide visionary leadership and long-term strategic planning for graduate studies at AUE.</li><li>Drive innovation in program design, curriculum development, and delivery of graduate programs.Policy, Compliance, and Accreditation</li><li>Develop, implement, and review graduate education policies and procedures in accordance with local (CAA) and international accreditation standards (e.g., SACSCOC, ABET, AACSB, NASAD, ACEJMC).</li><li>Oversee compliance with academic policies, regulations, and institutional governance structures.</li><li>Lead institutional and programmatic accreditation and reaccreditation processes related to graduate education.</li></ul>Graduate Program Oversight<ul><li>Oversee admissions criteria, progression benchmarks, thesis/dissertation processes, and graduation requirements.</li><li>Coordinate academic quality assurance and standardization across all graduate programs in collaboration with Deans and Program Directors.</li><li>Ensure the integrity and transparency of student assessment and supervision processes.</li></ul>Student Support and Services<ul><li>Manage graduate student services, including scholarships, research assistantships, academic advising, and professional development.</li><li>Oversee initiatives related to graduate student success, retention, and career readiness.</li><li>Support digital transformation in graduate student services for enhanced user experience and accessibility.</li></ul>Research, Reporting, and Data Analysis<ul><li>Maintain an active research portfolio and support graduate research initiatives.</li><li>Prepare strategic reports, benchmarking data, and performance indicators (KPIs) on enrollment, retention, completion rates, and research output.</li><li>Supervise thesis compliance and support processes.</li></ul>Stakeholder Engagement<ul><li>Build and sustain partnerships with industry, alumni, and government entities to ensure relevance and applicability of graduate education.</li><li>Represent AUE at academic forums, conferences, and strategic partnerships at national and international levels.</li></ul>Faculty Engagement<ul><li>Promote professional development, mentoring, and engagement of graduate faculty.</li><li>Foster cross-college collaboration and faculty participation in graduate governance.</li></ul>Supervisory Responsibilities<ul><li>Director of Thesis Support and Compliance</li></ul>Required Qualifications and Experience<ul><li>Ph.D. from a recognized, accredited institution.</li><li>Full Professor rank held for at leastfive years.</li><li>Minimum5 years of academic and administrative leadership, including2 years specifically in graduate education management.</li><li>Strong publication record in Scopus-indexed journals.</li><li>Proven experience supervising Master's and Ph.D. theses.</li><li>Chaired or actively served on doctoral viva committees.</li><li>Deep understanding of UAE and GCC higher education systems.</li><li>Demonstrated success in program development, accreditation, and research administration.</li><li>Experience in managing cross-functional academic teams and governance bodies.</li><li>Familiarity with national and international accreditation standards (CAA, SACSCOC, ABET, AACSB, NASAD, ACEJMC).</li><li>Bilingual proficiency (Arabic and English) is preferred.</li></ul>Skills and Competencies<ul><li>Strategic leadership and planning.</li><li>Academic and operational governance.</li><li>Strong communication and interpersonal skills.</li><li>Data-driven decision-making and reporting.</li><li>Organizational and administrative efficiency.</li><li>Familiarity with digital tools and systems in higher education.</li></ul>To Apply:Interested candidates must submit their CV along with a link or file of their portfolio. Only shortlisted candidates will be contacted.About American University in the Emirates (AUE):The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.At AUE, we believe Nothing is Impossible is the Pathway to SuccessAUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Engineering and Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.The American University in the Emirates is accredited bySACSCOC(the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master's degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levelsThe American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited byCAA(the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.TheCollege of Business Administrationis a proud member ofAACSB(The Association to Advance Collegiate Schools of Business),and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited byAACSB) as of 2022.The Bachelor of Computer Science in theCollege of Engineering and Technologyis accredited by the Computing Accreditation Commission ofABET.NASAD(The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in theCollege of Design, the designation of Substantial Equivalency with accredited programs in the United States.AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Engineering and Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.

Executive Director of Graduate Studies

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