Study Abroad Course Eligibility

Study abroad programs require meeting stringent eligibility criteria to ensure that learners are well-prepared for the rigorous academic experience. A foundational requirement is completing an undergraduate degree with a decent academic record from an accredited institution. Eligibility for studying abroad mandates proficiency in the English language as the medium of instruction in many international universities. While some institutions may forgo standardized tests like the GRE or GMAT, eligibility criteria for studying abroad emphasis remains on the candidate's academic and linguistic readiness for graduate-level study.

As the academic landscape becomes increasingly global, the prerequisites for these programs are decided to maintain the high standards of international education. Some programs may prioritize applicants with specific academic or professional backgrounds to foster knowledgeable and skilled aspirants. Prospective learners must diligently review and adhere to these criteria for studying abroad to represent the gateway to international academic opportunities and professional growth.

Study Abroad Course Eligibility

UT Austin - MS in Information Science: Machine Learning

• 3 or 4-year bachelor's degree or equivalent in any discipline.
• Minimum of 60% marks from a UGC-recognized university or institution.
• The medium of instruction must be in English.
• No GRE/GMAT or English proficiency test scores are required.

Walsh College - Master of Business Administration

• 3 or 4-year bachelor's degree or equivalent in any discipline.
• Minimum of 60% marks from a UGC-recognized university or institution.
• The medium of instruction must be in English.
• No GRE/GMAT or English proficiency test scores are required.

Oklahoma City University - Master of Business Administration

• Earned 4-year bachelor's degree with a minimum 3.0 on a 4.0 GPA from a regionally accredited college or university or an equivalent foreign degree.

OR

• Earned a 3-year bachelor's degree from an NAAC-recognized university with a rating of 'A' or better and a minimum 3.0 GPA on a 4.0 scale.
• English Proficiency Tests: TOEFL score of 83+, IELTS 6.5+ score with no sub-score below 6.0, Pearson PTE score of 53+, Duolingo English Test score of 95+, or completion of ELS Level 112.
• No GRE/GMAT is required.

Walsh College - MS Artificial Intelligence and Machine Learning

• 3 or 4-year bachelor's degree or equivalent in any discipline.
• Minimum of 60% marks from a UGC-recognized university or institution.
• The medium of instruction must be in English.
• No GRE/GMAT or English proficiency test scores are required.

Walsh College - MS Data Analytics

• 3 or 4-year bachelor's degree or equivalent in any discipline.
• Minimum of 60% marks from a UGC-recognized university or institution.
• The medium of instruction must be in English.
• No GRE/GMAT or English proficiency test scores are required.

Who can learn from these Study Abroad Programs?

The study abroad programs are curated for ambitious professionals at various career stages who aspire to excel in the global digital economy. Early-career individuals eager to establish themselves in Data Science, AI, and Machine Learning will find a path to international careers, while mid to senior-level professionals can update critical digital and information management skills to maintain their industry relevance. Learners seeking a transformative leap into high-growth areas like global management will acquire the industry-ready expertise necessary for success. With a curriculum grounded in the latest business analytics and innovative strategies, aspirants are set to become leaders in the data-driven world.

The study abroad programs teach professionals willing to master data science processing to contextualize data and enhance data science systems by identifying best practices and areas for improvement. These programs equip learners to manage the entire data science pipeline, from data mining to modelling, teaching them to apply cutting-edge data science techniques to real-world business challenges. These study abroad programs are perfect for those aiming to become data science innovators, ready to harness the latest methodologies to drive growth through actionable insights.

The programs focusing on AI and Machine Learning are designed for those aiming to excel in high-demand fields such as AI research and engineering. Professionals will learn to apply modern AI techniques to business problems and contribute to avant-garde AI research, pushing the boundaries of technology and science. These courses also serve as a launchpad for future business leaders, enabling them to assess and revamp business strategies through technological innovation. Learners can pass study abroad program eligibility if they are professionals seeking to become information science innovators, skilled in the entire information management pipeline, and capable of leveraging data-driven tools for organizational advancement.