Bachelor of Arts in Business Administration and Management
The Bachelor of Arts in Business Administration and Management program at Bay Atlantic ...
Master of Science in AI Engineering
Washington, D.C.
INTAKE: Jan, May & Sept
Program Overview
Bay Atlantic University offers an innovative Master of Science program in AI Engineering, designed to prepare students for careers at the forefront of artificial intelligence (AI) research, development, and application. This STEM-designated program combines theoretical knowledge with practical skills, enabling students to become proficient in cutting-edge AI technologies and methodologies. The Master of Science in AI Engineering program at Bay Atlantic University offers a rigorous and comprehensive education that prepares students for exciting careers in the field of artificial intelligence. With its STEM designation, cutting-edge curriculum, hands-on learning experiences, expert faculty guidance, and industry partnerships, the program equips students with the knowledge, skills, and connections needed to thrive in the rapidly evolving field of AI engineering.
Curriculum:
1. Advanced Curriculum: The Master of Science in AI Engineering program at Bay Atlantic University features an advanced curriculum that covers key areas of artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, and robotics. Courses are designed to provide students with a solid theoretical foundation in AI concepts while also focusing on practical applications and hands-on projects.
2. STEM Designation: Bay Atlantic University's Master of Science in AI Engineering program holds a STEM (Science, Technology, Engineering, and Mathematics) designation, reflecting its emphasis on rigorous academic disciplines critical for technological innovation and advancement. This designation provides various benefits, including eligibility for STEM OPT (Optional Practical Training) extensions for international students, allowing them to gain valuable work experience in the United States post-graduation.
3. Cutting-Edge Research Opportunities: The program offers students opportunities to engage in cutting-edge research projects in collaboration with faculty members and industry partners. Students have access to state-of-the-art research facilities and laboratories equipped with the latest AI technologies and tools. Engaging in research allows students to contribute to the advancement of AI knowledge and gain valuable research experience.
4. Hands-On Learning Experiences: Practical learning is a cornerstone of the Master of Science in AI Engineering program. Students have the opportunity to apply AI concepts and techniques to real-world problems through hands-on projects, case studies, and internships. These experiences not only deepen students' understanding of AI but also enhance their problem-solving and critical-thinking skills.
5. Expert Faculty Guidance: The program is taught by a team of experienced faculty members who are experts in the field of artificial intelligence. Faculty members bring a wealth of academic knowledge and industry experience to the classroom, providing students with expert guidance and mentorship. Students have the opportunity to collaborate with faculty on research projects and receive personalized attention to support their academic and professional growth.
6. Industry Partnerships and Networking: Bay Atlantic University has established partnerships with leading companies and organizations in the AI industry. Through these partnerships, students gain access to internship opportunities, guest lectures, and networking events, providing valuable connections and insights into the AI industry. Building a professional network during the program can enhance students' career prospects upon graduation.
7. Specialization Tracks: The program may offer specialization tracks or elective courses in specific areas of AI, allowing students to tailor their studies to align with their career interests and goals. Specialization tracks may include topics such as computer vision, natural language processing, robotics, AI ethics, or autonomous systems, providing students with in-depth expertise in their chosen area of focus.
8. Career Preparation and Support: Bay Atlantic University provides comprehensive career preparation and support services to help students transition successfully into AI-related careers. Career advisors assist students with resume writing, interview preparation, and job search strategies tailored to the AI industry. Additionally, the university hosts career fairs, workshops, and networking events to connect students with potential employers and industry professionals.
Location
Washington, D.C.
Score
IELTS: 7
Tuition Fee
USD 22230
Postgraduate entry requirements
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Academic Qualifications: Prospective postgraduate students must possess academic qualifications that meet the university's standards. Typically, this involves holding a bachelor's degree or its equivalent from an accredited institution with satisfactory grades. Academic qualifications contribute to 75% of the overall assessment of an applicant's eligibility for postgraduate admission.
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English Language Proficiency:
- IELTS (International English Language Testing System): A minimum score of 7 is required.
- TOEFL (Test of English as a Foreign Language): A minimum score of 80 on the internet-based test (iBT) is required.
- PTE (Pearson Test of English): A minimum score of 53 is required.
- DET (Duolingo English Test): A minimum score of 90 is required.
Bay Atlantic University (BAU) is committed to fostering diversity and providing opportunities for talented international students to pursue their higher education goals. To support this mission, BAU offers a range of scholarships specifically designed to assist international students in financing their studies.
International Student Scholarship: This scholarship is awarded to outstanding international students who demonstrate academic excellence, leadership potential, and a commitment to community service. The International Student Scholarship may cover tuition expenses, living expenses, or a combination of both, depending on the student's financial need and academic merit.
Merit-Based Scholarships: BAU offers merit-based scholarships to international students who have demonstrated exceptional academic achievement in their previous studies. These scholarships are awarded based on academic performance, standardized test scores, extracurricular activities, and letters of recommendation. Merit-based scholarships may cover partial or full tuition costs.
Diversity Scholarships: Recognizing the value of diversity in the academic community, BAU offers diversity scholarships to international students from underrepresented backgrounds or marginalized communities. These scholarships aim to promote inclusivity and equity within the university and may provide financial assistance to students with demonstrated financial need.
Departmental Scholarships: Some academic departments at BAU offer departmental scholarships to international students pursuing specific fields of study. These scholarships may be awarded based on academic achievement, research potential, or contributions to the field. Departmental scholarships may cover tuition expenses, research materials, or conference attendance fees.
Athletic Scholarships: International students who excel in athletics may be eligible for athletic scholarships at BAU. These scholarships are awarded to student-athletes who demonstrate exceptional talent, sportsmanship, and dedication to their sport. Athletic scholarships may cover tuition, room and board, and other expenses related to participation in collegiate sports programs.
Country-Specific Scholarships: BAU may offer scholarships specifically targeted towards students from certain countries or regions. These scholarships aim to attract top talent from around the world and may be based on academic merit, financial need, or other criteria determined by the university.
External Scholarships: In addition to university-sponsored scholarships, international students at BAU are encouraged to explore external scholarship opportunities offered by governments, organizations, foundations, and corporations in their home countries or internationally.
It's essential for international students to review the eligibility criteria, application deadlines, and application requirements for each scholarship opportunity and to submit their applications in a timely and thorough manner. By providing financial support through scholarships, Bay Atlantic University aims to make quality higher education accessible to students from diverse backgrounds and to cultivate a globally engaged and inclusive academic community.
Graduates of the Master of Science in AI Engineering program at Bay Atlantic University are well-equipped to pursue exciting and rewarding career opportunities in a variety of industries. With their advanced knowledge and skills in artificial intelligence (AI), graduates play a crucial role in developing cutting-edge AI technologies, solving complex problems, and driving innovation across various sectors. The Master of Science in AI Engineering program at Bay Atlantic University opens up a wide range of career prospects for graduates in the rapidly growing field of artificial intelligence. With their specialized knowledge, technical skills, and interdisciplinary training, alumni are well-positioned to make significant contributions to the development, deployment, and ethical use of AI technologies across diverse industries.
1. AI Research Scientist: Graduates can work as AI research scientists, conducting groundbreaking research in areas such as machine learning, deep learning, natural language processing, computer vision, and robotics. They collaborate with interdisciplinary teams to advance the field of AI and develop novel algorithms and techniques to address real-world challenges.
2. Machine Learning Engineer: Machine learning engineers design, build, and deploy machine learning models and systems to analyze large datasets, extract insights, and make predictions or recommendations. Graduates of the AI Engineering program are well-suited for this role, with their expertise in developing and optimizing machine learning algorithms and frameworks.
3. Data Scientist: Data scientists leverage AI and machine learning techniques to analyze complex datasets, uncover patterns, and derive actionable insights to inform decision-making processes. Graduates with a background in AI engineering are in high demand for data science roles, where they apply their knowledge to solve business, scientific, and societal challenges.
4. AI Software Developer: AI software developers design and implement AI-powered applications, systems, and platforms across various domains, including healthcare, finance, autonomous vehicles, and cybersecurity. Graduates of the program possess the programming skills and AI expertise needed to develop innovative AI solutions that address specific industry needs.
5. AI Consultant: AI consultants provide advisory services to organizations seeking to adopt AI technologies and integrate them into their operations. They assess clients' needs, develop AI strategies, and recommend solutions to maximize the value of AI investments. Graduates with expertise in AI engineering are well-positioned to work as consultants, guiding organizations through the adoption and implementation of AI initiatives.
6. Robotics Engineer: Robotics engineers design, build, and program robotic systems and autonomous machines that leverage AI technologies for perception, decision-making, and control. Graduates with a specialization in AI engineering can pursue careers in robotics research and development, contributing to the advancement of robotics applications in industries such as manufacturing, healthcare, and transportation.
7. AI Product Manager: AI product managers oversee the development and launch of AI-powered products and services, from conception to delivery. They work closely with cross-functional teams to define product requirements, prioritize features, and ensure alignment with market needs. Graduates with a Master of Science in AI Engineering are well-suited for product management roles, combining technical expertise with business acumen to drive product innovation and success.
8. AI Ethicist: With the increasing adoption of AI technologies, there is a growing demand for professionals who can address ethical considerations and societal implications associated with AI systems. Graduates may work as AI ethicists, ensuring that AI applications are developed and deployed responsibly, ethically, and with consideration for social impact.
