Fee Structure
At Lawrence Technological University,
we understand
that transparency and clarity regarding expenses
are crucial
for prospective students. Here’s a breakdown of the expenses you can anticipate during your
academic
journey:
| Item |
Description |
| Credits |
Each course at Lawrence Technological University
is
assigned a specific number of credits,
representing the
workload and academic value of the course. |
| Tuition Fee per Year |
The tuition fee covers the cost of academic instruction and support services
provided by the
institution. This fee is calculated on a per-year basis and varies depending on the
program of study.
|
| Living Expenses per Year |
Living expenses encompass costs associated with accommodation, food, transportation,
utilities, and
personal expenses. These expenses are estimated based on the average cost of living
in the area where
the institution is located. |
| Other Expenses |
Other expenses may include health insurance, books and supplies, technology fees,
and miscellaneous
costs related to academic and personal needs. |
Total Amount for
I20:
For international students applying for an
I20,
the total amount required includes the sum of
tuition
fees, living expenses, and other expenses for one academic year.
| Item |
Amount |
| Tuition Fee per Year |
$ 26,880 (Approx.)
|
| Total Course Credits |
58 |
| Cost per Credit |
$ 1,159 |
| Item |
Amount |
| Tuition Fee per Year |
$ 26,880 (Approx.)
|
| Living Expenses per Year |
$ 14,000 (Approx.)
|
| Other Expenses per Year |
$ 2,700 (Approx.)
|
Visa Application:
When applying for a visa, it’s recommended to carry 1.5(i.e $ 40,320) times the total amount mentioned in
the
I20 to
ensure you have sufficient funds to cover unexpected expenses and demonstrate financial
stability to the
visa authorities.
| Item |
Description |
| Total Amount for
I20 |
Sum of tuition fees, living expenses, and other expenses for one academic year. |
| Visa Application |
Recommended to carry 1.5 times(i.e $ 65,370)
the total amount mentioned in the
I20.
|
| Cost per Credit |
Calculated by dividing the total tuition fee for the year by the total number of
credits. |
Please note that these figures are subject to change and may vary depending on the program of
study and
individual circumstances. For the most accurate and up-to-date information regarding fees,
please refer to
the official documentation provided by
Lawrence Technological University.
Should you have any further inquiries or require assistance, please don't hesitate to reach
out to
Lawrence Technological University admissions office.
Master Of ScienceArtificial Intelligence Overview
Introduction:
Master Of ScienceArtificial Intelligence is an Master level course
designed to provide students with a comprehensive understanding of
Artificial Intelligence.Artificial Intelligence (AI) is proven to be a key element in technological innovations in the ever-expanding digital age. As Computer utilization becomes more sophisticated, analyzing problems and programming solutions requires advanced AI algorithms to deal with Big Data such as machine learning, deep learning, data mining, and pattern recognition.
Course Objectives:
- Understand the core principles and theories of Artificial Intelligence.
- Develop practical skills through hands-on projects, case studies, and simulations.
- Analyze and solve real-world problems related to Artificial Intelligence.
- Explore advanced topics and emerging trends in Artificial Intelligence.
Course Structure:
Master Of ScienceArtificial Intelligence is structured into 58 credits, each
focusing on
key aspects of Artificial Intelligence. The course includes a combination of lectures,
workshops,
group discussions, and practical exercises to enhance learning outcomes. Throughout the
course, students will have the opportunity to engage with faculty members, industry experts,
and peers to deepen their understanding and broaden their perspectives.
Topics Covered:
- Introduction to Artificial Intelligence
- Foundations of Artificial Intelligence
- Advanced Artificial Intelligence concepts
- Applications and case studies
- Emerging trends and future directions
Prerequisites:
Master Of ScienceArtificial Intelligence is suitable for students with a background in
Artificial Intelligence or professionals seeking to expand their knowledge and skills in
Artificial Intelligence.
Assessment and Evaluation:
Assessment in Master Of ScienceArtificial Intelligence is based on a combination of assignments,
quizzes, exams, projects, and participation. Students are expected to demonstrate their
understanding of key concepts, apply theoretical knowledge to practical scenarios, and
communicate their ideas effectively. Feedback from instructors and peers will be provided to
support continuous learning and improvement.
Further Studies:
For students interested in furthering their education, Master Of ScienceArtificial Intelligence serves as an excellent foundation for advanced studies in Artificial Intelligence.
Graduates may
pursue master's or doctoral degrees in Artificial Intelligence or specialized
certifications
in Artificial Intelligence.
Conclusion:
Master Of ScienceArtificial Intelligence offers a comprehensive exploration of
Artificial Intelligence,
providing students with the knowledge, skills, and confidence to succeed in
Artificial Intelligence. Whether you are a beginner seeking an introduction to
Artificial Intelligence or an experienced professional aiming to enhance your expertise, this course offers valuable
insights and practical insights to support your academic and career aspirations.
Admission Requirements
Upon receiving your admission letter from Lawrence Technological University, it is imperative to promptly fulfill two key requirements. Firstly, submitting the specified deposit amount confirms your commitment to enrollment and secures your place for the upcoming academic term. Secondly, arranging for your official transcripts to be directly sent to the university from your previous educational institutions ensures that your academic achievements and qualifications are accurately documented. Adhering to these steps in a timely manner facilitates a seamless transition into your academic journey at Lawrence Technological University.To be considered for admission, applicants must meet the
following requirements:
| Requirement Name |
Required Score |
| IELTS Score |
Overall Band Score of 6.0 or higher
|
| PTE Score |
Overall Score of
NOT ACCEPTED or higher |
| Duolingo Score |
Score of
105 or higher |
| GRE Score |
Combined Verbal and Quantitative Score of
Not Accepted / Not Required or higher |
| GMAT Score |
Total Score of
Not Accepted / Not Required or higher |
| Evaluation |
Evaluation of applicant's academic background
Not Required.
|
| Backlogs |
No more than 12 backlogs during the entire
academic career |
| 15 Years Education |
Completion of 15 years of formal education
Accepted.
|
