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Dakota State University

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South Dakota

United States

The Bachelor of Science in Computer Science: Artificial Intelligence and Machine Learning at Dakota State University stands out as a premier academic program, specifically tailored for students aspiring to delve deep into the rapidly evolving fields of artificial intelligence and machine learning. This degree not only equips students with fundamental and advanced knowledge in computer science, but also emphasizes practical, hands-on learning experiences, ensuring that graduates are well-prepared to meet the demands of a competitive job market.

The curriculum is meticulously designed to cover a broad spectrum of topics within computer science, integrating cutting-edge theories and practices in artificial intelligence and machine learning. Students engage in a comprehensive study that includes key areas such as data structures, algorithms, programming, statistical analysis, and computational thinking. The program also places a strong focus on ethical considerations and the social impacts of artificial intelligence technologies, fostering responsible tech leaders who can navigate the complex landscape of modern technology.

At Dakota State University, students benefit from an engaging and interactive learning environment facilitated by a team of highly qualified faculty members. The instructors bring a wealth of experience from both academia and industry, employing innovative teaching methodologies that blend theoretical knowledge with practical applications. Class sizes are intentionally kept small to promote personalized attention and active participation, enabling students to engage in meaningful discussions and collaborative projects. This nurturing academic environment prepares students not only to excel academically but also to develop critical thinking and problem-solving skills essential in real-world scenarios.

The program also emphasizes the importance of research and innovation, providing students with ample opportunities to engage in impactful research projects. Dakota State University is equipped with state-of-the-art laboratories and resources that support hands-on learning and experimentation. Students can collaborate with faculty on research initiatives, often leading to publications and presentations at national conferences. This exposure not only enhances students' resumes but also prepares them for advanced studies or professional careers in technology and data science.

Furthermore, Dakota State University boasts strong ties to the tech industry, opening pathways for internships and job placements with leading companies. The university's partnerships with tech giants, local businesses, and organizations create a robust network that supports students in securing valuable internships. These practical experiences are crucial, as they allow students to apply their classroom learning in real-world settings, gain professional insights, and build connections that can lead to successful careers. Graduates of the program can expect to pursue roles such as Artificial Intelligence Engineer, Data Scientist, Software Developer, and many others in a variety of sectors.

The success of Dakota State University's program is evident through the achievements of its alumni. Graduates have gone on to work at prestigious companies, such as Google, IBM, Microsoft, and Amazon, often reporting starting salaries that are competitive within the industry. Alumni testimonials highlight not only the quality of education received but also the comprehensive support provided by the university's career services, which assists students in navigating their career paths from the moment they enroll until they secure employment post-graduation.

Why Study Computer Science: Artificial Intelligence and Machine Learning at Dakota State University

  • Industry-Relevant Curriculum: The program is aligned with current industry trends, ensuring that the knowledge and skills gained are immediately applicable in the workforce.
  • Access to Cutting-Edge Technology: Experience hands-on learning in high-end classrooms and labs equipped with the latest technology and software tools.
  • Strong Faculty Expertise: Learn from faculty who have extensive backgrounds in both academia and the tech industry, providing insights that bridge theory and practice.
  • Robust Internship and Job Placement Opportunities: Benefit from strong industry ties that facilitate internship opportunities and job placements with leading tech companies.
  • Scholarship Opportunities: Take advantage of various merit-based scholarships that can significantly reduce the cost of education, making it more accessible.
  • Diverse Learning Environment: Immerse yourself in a multicultural academic community, enhancing your global perspective and collaborative skills.
  • Comprehensive Support Services: Receive ongoing support from academic advisors, career counselors, and tutoring resources designed to facilitate student success.

In summary, the Bachelor of Science in Computer Science: Artificial Intelligence and Machine Learning at Dakota State University is an excellent choice for students seeking a dynamic and comprehensive education in one of today's most exciting fields. With a blend of theoretical and practical learning, strong faculty support, and robust career opportunities, this program lays a solid foundation for students to thrive in their future endeavors.

**Program Requirements and Prerequisites:** To be eligible for admission to this program, students must demonstrate a strong academic record in high school or college, particularly in mathematics and computer science. Applicants should have completed coursework in subjects such as algebra, geometry, trigonometry, and calculus. Additionally, foundational knowledge in programming, data structures, and algorithms is highly recommended. Students who do not meet these prerequisites may be required to take remedial courses prior to commencing the program.

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Duration

48 Months

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Median Salary

$75,000

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

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Class Size

25

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Average Age

22

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Average Work Experience

0 Years

Diversity

Hispanic or Latino:

3%

Two or more races:

6%

Asian:

4%

American Indian or Alaska Native:

1%

Black or African American:

4%

White:

81%

Career Outcomes

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Median Earnings After Graduation

$75,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Statistician

Research Scientist

Software Engineer

Data Engineer

Software Developer

Operations Analyst

IT Specialist

Data Analyst

Database Administrator

Computer Scientist

Quantitative Analyst

Data Scientist

Business Analyst

Data Architect

Web Developer

Cybersecurity Analyst

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    71

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  • PTE

    50

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  • IELTS

    6

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Standardised Test Score

  • SAT

    450

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  • ACT

    20

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Academic LOR

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Application Deadlines

Standard Deadline
FallJun 15, 2023
SpringNov 15, 2023

Fees and Funding

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Tuition Fees

$14,010 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The Dakota State University offers a variety of scholarships for students majoring in Computer Science: Artificial Intelligence and Machine Learning. These scholarships are based on academic merit, financial need, and extracurricular activities. Some of the top scholarships offered by the university include the Presidential Scholarship, the Dean's Scholarship, and the McNair Scholarship.

FAQs

  • An MS degree at Dakota State University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Dakota State University website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Dakota State University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

  • A student can complete Computer Science: Artificial Intelligence and Machine Learning at Dakota State University with in 48.

  • The deadline to submit an admission application for Computer Science: Artificial Intelligence and Machine Learning at Dakota State University is Application deadline Fall (Standard Deadline) - date - 15/06/2023 ,Application deadline Spring (Standard Deadline) - date - 15/11/2023

  • The application fee to pursue Computer Science: Artificial Intelligence and Machine Learning at Dakota State University is USD 20 for international students.

  • The annual tuition fee to pursue Computer Science: Artificial Intelligence and Machine Learning at Dakota State University is USD 14010.

  • The Computer Science: Artificial Intelligence and Machine Learning at Dakota State University has 8 semesters.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Dakota State University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Dakota State University requirements before submitting a score.

  • Computer Science: Artificial Intelligence and Machine Learning can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of Dakota State University, they can easily pursue Computer Science: Artificial Intelligence and Machine Learning. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

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