Master of Science [M.S] (Computer Science - Artificial Intelligence and Machine Learning)
$36,000 /Yr
Artificial intelligence (AI) is the intelligence exhibited by machines or software, which is regarded as the core knowledge of any Computer Science degree. It is also an academic field of study. Artificial intelligence covers the many aspects of how human intelligence might be encoded in computer programs and mechanisms such as robots. This course introduces the foundation of simulating or creating intelligence from a computational point of view. It allows the students to gain generic problem solving skills that have applicability to a wide range of real-world problems. It covers the techniques of reduction, reasoning, problem solving, search, knowledge representation, and machine learning.
Machine learning is a fast-moving field with many recent real world commercial applications. The goal of Machine Learning is to build computer model that can produce useful information whether predictions, associations, or classifications. The ultimate goal for many machine learning researchers is to build computing systems that can automatically adapt and learn from their experience. This course will study the theory and practical algorithms, basic concepts and paradigms, what key techniques, challenges and tricks. It also cover examples of how machine learning is used/ applied today in the real world, and expose students to some experience in building and using machine learning algorithms. This course will also discuss recent applications of machine learning, such as to robotic control, speech recognition, face recognition, data mining, autonomous navigation, bioinformatics, and text and web data processing
Important Dates
Event | Application Date |
---|---|
Application Deadline For Fall 2024 Intake | |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $36000 |
Eligibility & Entry Requirement
Academic Eligibility:
- Candidates must have the equivalent bachelor's degree from an accredited institution.
- GPA of 3.0/4.0 [B+ Grade].
Indian Student Eligibility:
- The minimum requirements are an overall average of 60% in each year, as well as in all prerequisite subjects.
- Subjects must include mathematics, chemistry, and physics in Class 11 and 12.
- GPA of 3.0/4.0 [B Grade].
English Language proficiency:
- Applicants from India, China, Vietnam, Philippines, and Pakistan should note that IELTS is the only proficiency score accepted by the Study Direct Stream (SDS) program.
- Meeting the minimum English requirements does not guarantee admission. Students with higher English proficiency scores will receive priority in the admission assessment process.
- Not all students will qualify for EAP-3106 in place of the required IELTS or TOEFL test scores.
Submission of GRE scores is not compulsory for this program, however, it is recommended to submit a minimum 292 score for a better chance of admission.
The above requirements are the minimum requirements and do not guarantee admission. The admissions committee will consider all evidence in the file and decide. To know more about the requirem….Read More
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Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
BrokerFish International Student Scholarship | Scholarship per student$ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
TEC Scholarship | Scholarship per student$ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
Narotam Sekhsaria Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
RIPS Summer Internship | Scholarship per student$ 4,000/Yr$4,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
Arkansas Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific | |
Ritchie-Jennings Memorial Scholarship Program | Scholarship per student$ 10,000/Yr$10,000 | Level Of StudyBachelor | TypeMerit-Based |
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