QS Rank:

258

University of Canterbury

Canterbury
,New Zealand

Program Name
BDataSc in Computational Linguistics
Overview

The Bachelor of Data Science in Computational Linguistics at the University of Canterbury stands out as a premier choice for students aspiring to delve into the fascinating intersection of language and technology. This program is meticulously crafted to provide students with both fundamental and advanced knowledge in the field of computational linguistics. By integrating theoretical foundations with practical experience, students will explore the intricacies of human language through computational models, algorithms, and software development.
The curriculum is designed to cover a wide range of topics essential for understanding the complexities of language processing. Core courses include Natural Language Processing, which introduces students to techniques for analyzing and generating human languages, and Machine Learning, where students learn how computers can recognize patterns and make predictions. The program also emphasizes Statistics and Data Analysis, equipping students with the ability to interpret and manipulate data effectively. Additionally, courses in Linguistics provide a theoretical backdrop, covering syntax, semantics, and phonetics.
Faculty members in this program are highly experienced and recognized experts in their fields. With a blend of academic backgrounds and industry experience, they employ innovative teaching methodologies to ensure that students not only grasp theoretical concepts but also apply them in practical scenarios. The faculty’s commitment to mentorship and support enhances the learning environment, fostering a culture of inquiry and collaboration.
Research opportunities abound at the University of Canterbury, with students encouraged to participate in ongoing projects that investigate real-world applications of computational linguistics. Access to state-of-the-art labs and resources empowers students to engage in significant research, often in collaboration with industry partners. This exposure is invaluable, allowing students to apply their classroom knowledge to practical challenges and develop solutions that can impact various sectors.
Industry connections are a significant asset of this program. The University of Canterbury has established strong partnerships with leading tech companies, providing students with numerous internship opportunities. These partnerships not only facilitate real-world experience but also often lead to job placements upon graduation. Students can expect to engage with industry leaders through networking events, guest lectures, and hands-on projects, giving them a competitive edge in the job market.
Graduates of the Computational Linguistics program are well-prepared for a multitude of career pathways. With the increasing demand for skilled professionals in fields such as artificial intelligence, data analysis, and software development, students can look forward to diverse job opportunities. Common roles include Product Manager, Research Scientist, Software Engineer, Computational Linguist, Natural Language Processing Engineer, Education Consultant, Data Scientist, Marketing Manager, Technical Writer, and Machine Learning Engineer.
The average base salary for graduates in this field is around NZD 72,000, with many students reporting successful placements within prominent companies such as IBM, Google, Amazon, and Microsoft. Testimonials from alumni highlight the effectiveness of the program in equipping them with the necessary skills to thrive in competitive environments, showcasing how their education paved the way for successful careers.
Moreover, the University of Canterbury distinguishes this program through unique features like its hands-on learning approach and an interactive curriculum that not only prepares students academically but also fosters critical skills. The program's focus on scholarships and financial aid opportunities ensures that capable students from diverse backgrounds can access quality education. Scholarships, such as the University of Canterbury Scholarship and the Rutherford Scholarship, are awarded based on merit and can significantly alleviate financial burdens.
To be eligible for this program, applicants must possess a Bachelor of Science degree (or equivalent) with a major in computer science, information science, or a related discipline. A strong background in mathematics and statistics is essential, alongside a genuine interest in computational linguistics and natural language processing. The university requires a minimum GPA of 3.0 for admission, emphasizing the program's competitive nature.
Why Study Computational Linguistics at University of Canterbury
- One of the most sought-after programs by international students, providing a global perspective.
- Emphasis on practical learning experiences through engaging projects and internships with industry leaders.
- Access to high-end classrooms and state-of-the-art facilities, nurturing an enriching educational environment.
- Comprehensive support from experienced faculty who foster a collaborative and innovative learning atmosphere.
- Opportunities for scholarships and financial assistance, making education more accessible for deserving students.
- Strong industry connections that enhance job prospects and provide networking opportunities.

Duration
36 Months

Median Salary
$65,000
Ranking
#338
US World and News Report
#258
QS World University Rankings
Class Profile

Class Size
20

Average Age
22

Average Work Experience
1 Years
Diversity
Europe:
10%North America:
5%Africa:
1%South America:
1%Asia:
15%New Zealand:
70%Others:
9%Career Outcomes

Median Earnings After Graduation
$65,000 / year
Prospective Job Roles
Product Manager
Research Scientist
Software Engineer
Computational Linguist
Natural Language Processing Engineer
Education Consultant
Data Scientist
Marketing Manager
Technical Writer
Machine Learning Engineer
Top recruiters










Eligibility Criteria
English Proficiency Tests
TOEFL
80
PTE
50
IELTS
6
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.
Transcript
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$35,725 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Rutherford Scholarship
FAQs
- A student can complete Computational Linguistics at University of Canterbury with in 36.
- The annual tuition fee to pursue Computational Linguistics at University of Canterbury is NZD 35725.
- The Computational Linguistics at University of Canterbury has 6 semesters.
- The submission of these scores mainly depends on the type of degree/ course selected at the University of Canterbury. 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 University of Canterbury requirements before submitting a score.
- Computational Linguistics 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 University of Canterbury, they can easily pursue Computational Linguistics. 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.
- An MS degree at University of Canterbury can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Canterbury website to check the course/ degree duration.
- One can apply for scholarships to pursue their international education at University of Canterbury 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.
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