Programs

Machine Learning

This postgraduate subject introduces the fundamentals of machine learning in both theory and practice, focusing on its application in industrial data analytics and knowledge engineering. You will develop computing skills for data regression and classification, with an emphasis on solving industrial data modelling problems using neural networks. The course involves testing various learning algorithms, comparing their performance, and exploring advanced techniques for data classification. Practical labs and assignments provide hands-on experience with real-world machine learning applications.

Machine Learning (CMPE462)

This course provides an overview of artificial learning systems, covering both supervised and unsupervised learning approaches. You will explore statistical models, decision trees, clustering techniques, and feature extraction. The curriculum also delves into artificial neural networks and reinforcement learning, with applications in pattern recognition and data mining. The language of instruction is English.

Machine Learning Certificate

The Machine Learning Certificate program at Maryville University is designed for individuals looking to gain specialized knowledge in the rapidly evolving field of artificial intelligence. This online certificate equips students with the foundational understanding and practical skills needed to work with machine learning algorithms and data. The program focuses on developing a strong theoretical base combined with hands-on application, preparing graduates for roles in data science and related tech industries.

Machine learning for statistical NLP: advanced

This advanced Master's level course focuses on applying machine learning techniques to language technology, including multimodal applications. You will gain practical experience in developing Natural Language Processing (NLP) applications using widely-used programming frameworks. The course emphasizes improving your machine learning skills and developing your ability to make independent design choices in implementation.

Machine learning for statistical NLP: introduction

This course provides an introduction to machine learning for Natural Language Processing (NLP). It covers the fundamental statistical and mathematical concepts that underpin modern language technologies, combining theoretical knowledge with practical experience in data analysis and model development. You will learn how to represent linguistic data for machine learning, build data pipelines, and apply standard algorithms. The course emphasizes hands-on experimentation with NLP and machine learning tools, alongside scientific practices and documentation. Upon completion, you will be able to understand the role of linguistic data in NLP, apply and evaluate machine learning techniques for NLP tasks, develop and document small-scale NLP systems, and critically assess different approaches to NLP problems.

Machine Learning Operations

This course focuses on Machine Learning Operations (MLOps), providing students with practical skills and knowledge to manage machine learning models in research or production environments. You will learn about essential tools and software development practices for organizing, scaling, deploying, and monitoring ML models. The course emphasizes hands-on experience with various frameworks, both local and cloud-based, to build and manage large-scale machine learning pipelines. The curriculum covers crucial aspects like code organization, version control, reproducible environments, experiment management, debugging, profiling, and monitoring. You will also gain experience with testing, continuous integration, and cloud infrastructure for scaling experiments and automating processes. The course aims to equip students with the ability to deploy ML models effectively, monitor their lifecycle, and scale data loading and training using distributed frameworks.

Machine Learning, Data Science and Artificial Intelligence, Master of Science (Technology)

The Master's programme in Machine Learning, Data Science and Artificial Intelligence (Macadamia) at Aalto University equips students with advanced knowledge to navigate the rapidly evolving field of AI. This data-intensive major focuses on solving complex 21st-century problems, from climate change to understanding epidemics, through the application of artificial intelligence, data science, and machine learning. Graduates are prepared to formalize, apply, and interpret data-intensive solutions, implement state-of-the-art methods, and understand the theoretical and ethical foundations of the field. The programme is designed for talented students seeking a challenging study option, encouraging them to step out of their comfort zones and engage with cutting-edge research. It emphasizes active, hands-on learning through projects and practical assignments, fostering an environment where students can experiment and develop their skills independently. The curriculum is delivered by enthusiastic and internationally acclaimed professors and researchers.

Machine-SUIF Control Flow Analysis Library

The Machine-SUIF Control Flow Analysis (CFA) library is an advanced computing tool designed for analyzing program control flow. It extends the existing control flow graph (CFG) library by offering sophisticated functionalities like dominator analysis and natural-loop analysis. This library is crucial for understanding program structure and optimizing code by identifying key relationships within the control flow. The `DominanceInfo` class allows you to compute dominator sets, construct a dominator tree, and determine dominance frontiers for a given graph, whether processed in forward or reverse directions. Building upon this, the `NaturalLoopInfo` class helps in identifying natural loops, calculating loop depths for each node in the CFG, and pinpointing loop boundaries. This tool is ideal for researchers and students focused on compiler design, program optimization, and static analysis of software.

Macquarie University Study Options

Macquarie University offers a range of study options, including undergraduate, postgraduate coursework, and research degrees. You can choose to focus on a single area of study for a specialised degree or combine different fields in a double degree to broaden your knowledge and career prospects. The university also offers combined bachelor and master degrees, such as in security, intelligence, and criminology, providing a pathway to advanced specialisation.

Madras Institute of Technology (MIT) Campus, Anna University

Madras Institute of Technology (MIT) is a pioneering institution in India, established in 1949 and integrated with Anna University in 1978. MIT is dedicated to providing high-quality technical education and fostering research and innovation. The institute is equipped with state-of-the-art facilities, advanced laboratories, and Centres of Excellence, supported by significant funding from national and international agencies. With a strong alumni network and a commitment to academic excellence, MIT offers a stimulating environment conducive to learning and research. The institute's vision is to be a world-class institution, producing graduates with strong technical knowledge, professional skills, and ethical values, contributing to societal and economic development.

MAEd in Leadership in Technology

The Master of Arts in Education (MAEd) in Leadership in Technology is an online program designed for both educators and non-educators who incorporate teaching or training in their professional roles. It combines educational theory, practical application, and field experience to equip students with skills for solving real-world problems. The program focuses on enhancing knowledge of how various educational technologies can be used to improve learning outcomes. Graduates can also pursue stackable credentials like the Online Instructor and Blended Learning Certification or the K-12 Computer/Technology Endorsement during their studies. Please note: As of May 13, 2026, this specific MAEd program is no longer admitting new students. Current students will receive full support until they complete their degrees. While the major is closing, the university continues to offer coursework in this subject area within other programs.

MAEd in Literacy

The Master of Arts in Education (MAEd) in Literacy at Baldwin Wallace University is designed for teachers who want to enhance their skills in evaluating and instructing literacy, specifically focusing on diagnostic and corrective reading methods. This online program covers research in literacy education and literature suitable for children and adolescents, equipping educators to improve student achievement through effective literacy strategies. Please note that as of May 13, 2026, this program is no longer admitting new students as a major. However, current students will receive full support to complete their degrees, and coursework in this area will continue to be integrated into other academic offerings at BW.

MAEd in Mild to Moderate Educational Needs

Baldwin Wallace University's Master of Arts in Education (MAEd) in Mild to Moderate Educational Needs program is designed for licensed teachers seeking to become intervention specialists. This program addresses a significant demand for professionals capable of working with students with mild to moderate learning disabilities in inclusive educational environments. Graduates are prepared for roles such as consultant teachers, small group instructors, resource room teachers, and co-teachers. The program focuses on practical skills and theoretical knowledge required to support diverse learners. This MAEd program leads to both a master's degree and the K-12 intervention specialist license. For those already holding an initial teaching license, the program can be completed part-time in as little as two years. It includes essential coursework, a supervised practicum experience with children with learning disabilities, and preparation for the state licensing exam. Please note that as of May 13, 2026, this specific program is no longer admitting new students as a major.

Magistère Relations internationales et action à l'étranger (MRIAE)

The Magistère Relations internationales et action à l'étranger (MRIAE) is a specialized, pre-professional master's degree program offered by the École d'histoire de la Sorbonne at Paris 1 Panthéon-Sorbonne University. Established in 1985, this program focuses on international relations and foreign affairs, providing a multidisciplinary education. It is designed for students with strong writing and communication skills who are interested in becoming analysts of international relations and wish to gain a solid historical foundation for understanding these phenomena. The MRIAE program spans three years, following a minimum of a Licence 2 or Licence 3 (or equivalent). A key feature is the intensive language training, requiring three foreign languages. Students also prepare a substantial professional mémoire (120 pages) and defend a "Grand Oral" (major oral examination). Successful completion leads to both a Master's degree and a specific University Diploma (DU). The first year of the Magistère program involves shared coursework with the Master's program, aiming to harmonize students' knowledge. The program emphasizes international exposure through a mandatory study trip to a European capital in the first year, an international mobility opportunity in the second year, and a long-term internship (4-6 months) in the third year. The program also benefits from a strong alumni network that supports current students in their career searches.

Magistratura

Maîtrise en éducation

Maîtrise en génie des réseaux de télécommunications (M. Ing.)

Major Depressive Disorder Research

This program focuses on Major Depressive Disorder (MDD), commonly known as depression. MDD is a mental health condition characterized by persistent feelings of sadness or misery, often lasting longer than two weeks and sometimes occurring without an apparent cause. These mood episodes can lead to significant personal distress and impair daily functioning, including work and social interactions. While other forms of depression exist, MDD is a significant public health concern, with millions affected annually. The research in this area explores potential causes, symptoms, and effective treatment options.

Major in Ancient History

The Major in Ancient History at Dartmouth College provides students with a deep understanding of the history of the ancient Greek and Roman worlds. This program focuses on developing historical methodologies and research skills necessary for advanced study. Students will engage with primary sources and learn to analyze historical evidence critically.

Major in Biochemistry

The Biochemistry major at the University of Illinois Urbana-Champaign is an interdisciplinary program that combines biological and chemical sciences to explore life at a molecular level. You will investigate fundamental questions about cellular processes, genetic mechanisms, energy conversion, and the functions of biological molecules. This program is housed within the School of Molecular & Cellular Biology (MCB), offering access to school-wide curricular enhancements, research opportunities, and advanced teaching facilities. A degree in Biochemistry prepares students for advanced studies in related scientific fields or professional programs like medicine, dentistry, pharmacy, and veterinary medicine.

Major in Business Administration (BSB)

The Business Administration major at the University of Kansas School of Business provides a comprehensive overview of core business subjects. This program is designed to equip students with essential communication and leadership skills, preparing them for competitive entry into high-level management positions across various industries. Students gain broad exposure to all areas of business study, fostering a well-rounded understanding of the corporate world.

Major in Computational Media