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Quant Finance Explorer Program 2025

ภาควิชาคณิตศาสตร์ คณะวิทยาศาสตร์ มหาวิทยาลัยมหิดล ร่วมกับบริษัท WorldQuant ขอเชิญชวนนิสัตนักศึกษา และศิษย์เก่าที่สนใจด้าน Quantitative Finance เข้าร่วมโครงการ Quant Finance Explorer Program โดยผู้เข้าร่วมจะได้รับโอกาสเรียนรู้การวิจัยเชิงปริมาณ การใช้ WQBrain Simulation รวมถึงได้รับประกาศนียบัตรและยังมีโอกาสได้ร่วมงานในฐานะนักวิจัยกับ WorldQuant BRAIN ซึ่งเป็นบริษัทบริหารจัดการสินทรัพย์ระดับโลกอีกด้วย สำหรับกิจกรรม workshop จะจัดขึ้นในวันพุธที่ 15 ตุลาคม 2568 เวลา 13.00 – 15.00 น. ณ ห้อง R203 คณะวิทยาศาสตร์ มหาวิทยาลัยมหิดล (พญาไท) 🔗 ลงทะเบียนผ่าน QR Code ตามโปสเตอร์แนบ

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Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2026 (Early Direct Admission)

Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2026 (Early Direct Admission)            The Faculty of Science, Mahidol University is now accepting applications for the Bachelor of Science Programme in Actuarial Science (International Programme) and Bachelor of Science Programme

Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2026 (Early Direct Admission) Read More »

Congratulations to Asst. Prof. Dr. Tipaluck Krityakierne on being selected as one of Mahidol University’s Top 100 Researchers for 2026

Congratulations to Asst. Prof. Dr. Tipaluck Krityakierne on being selected as one of Mahidol University’s Top 100 Researchers for 2026. This recognition places her among the top 200 researchers across the university, based on SciVal data as of 30 June 2025. Link Mahidol University’s Top 100 Researchers

Congratulations to Asst. Prof. Dr. Tipaluck Krityakierne on being selected as one of Mahidol University’s Top 100 Researchers for 2026 Read More »

List of students accepted to B.Sc. Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3)

List of students accepted to B.Sc. Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3) List of accepted students AS List of accepted students IMDS Attendance Confirmation Form AS Attendance Confirmation Form IMDS Details Dates Submit the enrollment confirmation form to the Department of Mathematics, Faculty

List of students accepted to B.Sc. Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3) Read More »

Announcement of the list of eligible candidates to be interviewed: B.Sc. Actuarial Science And B.Sc. Industrial Mathematics And Data Science, Academic Year 2025 (Direct Admission Round 3)

The interview for the direct admission (round 3) to the B.Sc. Programme in Actuarial Science (International Programme) and the B.Sc. Programme in Industrial Mathematics and Data Science (International Programme) will be held on June 11, 2025, at the Department of Mathematics, Faculty of Science, Mahidol University. Please download the list of candidates to be interviewed

Announcement of the list of eligible candidates to be interviewed: B.Sc. Actuarial Science And B.Sc. Industrial Mathematics And Data Science, Academic Year 2025 (Direct Admission Round 3) Read More »

Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3)

Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3)                    The Faculty of Science, Mahidol University is accepting applications for enrollment and will hold an entrance examination to select students to

Application for Admission to B.Sc. Programme in Actuarial Science and B.Sc. Programme in Industrial Mathematics & Data Science Academic Year 2025 (Direct Admission Round 3) Read More »